An Overview of Political Conservatism

An Overview of Political Conservatism Principles Ideologies Political conservatism is a term applied to people who believe in: Economic liberty and the central role of free enterprise in American societyA small, non-invasive governmentA strong national defense focused on protection and the fight against terrorism The most influential national political organization for conservatives in the US is the Republican party, although the recent Tea Party phenomenon is perhaps the most tightly aligned with the ideologies mentioned above. There are also many advocacy groups that focus on the promotion of these initiatives. Ancillary Principles Ideologies Conservatives are often wrongly equated with the Christian-right. For years, social conservatives held a firm grip on the Republican Party and by extension the entire conservative movement. For religious conservatives, the principles and ideologies mentioned above are ancillary to the wedge issues that threaten Christian culture. These include: Traditional family values and the sanctity of marriageA commitment to faith and religionThe right to life for every human being While many mainstream conservatives agree with these concepts, most believe they are secondary to the core tenets mentioned previously. Political Leaders Most conservative political leaders tend to be Republican. In most cases, Republican politicians seek to gain the trust of the conservative community. President Ronald Reagan was perhaps the modern conservative movements most important political leader. He ushered in a number of socially conservative initiatives and is widely regarded as the icon of political conservatism. The father of modern conservatism, who was known as Mr. Conservative, was Barry Goldwater. Other conservative leaders have included notable figures such as Newt Gingrich, Robert Walker, George H.W. Bush and Strom Thurmond. Conservative Justices, Media Intellectuals Outside Congress and the White House, the Supreme Court and the national media have a strong influence on US conservative politics and perspectives. Supreme Court Justices William Rehnquist, Antonin Scalia, Clarence Thomas, Samuel Alito and judge Robert Bork have all had a major impact on the interpretation of law. In the media, Rush Limbaugh, Patrick Buchanan, Ann Coulter, and Sean Hannity are seen as the conservatives whose opinions have tremendous influence today. In the 20th Century, Russell Kirk and William F. Buckley Jr. were perhaps the most influential and highly regarded conservative intellectuals. Campaigns Elections To be an effective political leader, a conservative must first run an effective campaign. Perhaps no other campaign has been as important to the conservative movement as the one run in 1964 between Mr. Conservative Barry Goldwater and Democrat Lyndon B. Johnson. Although Goldwater lost, the principles he fought for and the legacy he left have resounded with conservatives ever since. Nevertheless, conservatives who run campaigns today often appeal to social conservatives, using abortion, the second amendment, the sanctity of marriage, school prayer and the War on Terror as the key planks in their political platforms. War on Terror In the 20th Century, the Vietnam war stiffened the resolve of conservatives to never again suffer defeat at the hands of a foreign enemy. The War on Terror began with the attack on 9/11, and conservatives remain largely divided about what the battle parameters should be. Most believe the War on Terror must be won at all costs. The decision to invade Afghanistan to search for Osama bin Laden found favor with many conservatives as did the invasion of Iraq to find al Queda operatives. Despite liberal opposition, conservatives see victory in Iraq as the key front in the war against international terrorism. Division of Church State Because conservatives have such a strong belief in small, non-invasive government, most believe the state shouldnt dictate morality or interfere with the church. Conversely, they believe that although government should be free of religion, it shouldnt be free from religion. To conservatives, school prayer isnt an exercise of the institution, but of the individual and should, therefore, be allowed. Most conservatives oppose the idea of a welfare state and believe the government should regulate standards, not appropriate funding, since private organizations are often better equipped to deal with social problems. Abortion Stem Cell Research For social conservatives, no other issue is as important as abortion. Christian conservatives believe in the sanctity of all life including embryos and believe it is morally wrong to abort living fetuses. Consequently, the pro-life movement and the fight against abortion rights is often incorrectly equated with the conservative movement as a whole. While most conservatives are pro-life, the issues gray areas make it as highly debatable inside the conservative movement as they do anywhere else. Still, most conservatives believe abortion is the same as murder and, like murder, should be against the law. Capital Punishment The death penalty debate is another very controversial issue among conservatives. Opinions vary and depend mostly on what type of conservative ideology the person espouses. Compassionate conservatives believe in the Christian concept of forgiveness and compassion, whereas other types of conservatives believe that when justice for murder is delivered, the punishment should fit the crime. In most cases, conservatives believe the well-being of the victim is more important than that of the criminal, and thus capital punishment is justified. Others believe in rehabilitation and a life of repentance and service to God. Economy Taxes Libertarians and Constitutionalists are natural fiscal conservatives due to their desire to reduce government spending, pay off the national debt and shrink the size and scope of government. Although the Republican Party is most often credited with reducing government waste, but big-spending from the most recent GOP administration has hurt the partys reputation. Most conservatives identify themselves as fiscal conservatives because of their desire to deregulate the economy through lower taxes and incentives for small businesses. Most conservatives believe the government should leave the private sector alone. Education, Environment Foreign Policy The most important education issue concerning conservatives has to do with how the theories of creation and evolution are taught in schools. Social conservatives believe that, at the very least, the biblical concept of creation should be taught as an alternative to the evolution theory. More radical creationists believe evolution shouldnt be taught at all because it undermines the notion of mankind being created in Gods image. Another issue is school vouchers, which give parents the freedom to choose which school their children should attend. Conservatives are largely in favor of education vouchers, believing it to be their right to choose where their children receive their education. Conservatives have traditionally argued that global warming was a myth, but recent scientific evidence has indicated it to be a reality. In the face of these overwhelming studies, some conservatives still cling to the idea that it is a myth and that the statistics are skewed. Other conservatives, such as crunchy conservatives, advocate for a cleaner, greener way of living and are in favor of providing the private sector with economic incentives to reduce pollution and develop alternative fuel sources. When it comes to foreign policy, conservatives are divided on this issue as well. Paleoconservatives take a largely non-interventionist approach to foreign policy, but neoconservatives believe that failure to intervene in international affairs is tantamount to isolationism and as such, stokes the flames of terrorism. Conservative Republicans in Washington are mostly neoconservatives, who support Isreal and the War on Terror.

Accounting info system Essay Example | Topics and Well Written Essays - 500 words

Accounting info system - Essay Example ults to improve targeting marketing activities that will lead to great impact in the next few months .It can help in a transportation company to identify the best prospects for its services. A bus topology or straight line topology is appropriate since all the computers are connected using a single cable, it involve transmission of packet data to all network nodes on the segment .the network is however cheap and simple to install and can be used by a large group of people Using cloud computing connection of wireless device can be difficult normally when it comes to personal devices .it can be expensive to set up on a small scale cloud computing. Data ownership is a problem when it comes to cloud computing especially when you have a lot of data to deal with This is a protocol where messages are divided into packets before they are sent. Each packet is then sent individually which can even follow different routes before reaching to its destination. After the packets forming the message reach at their destination they are then combined to form the original message. For the company there is the primary data which can be obtained from the ground or within the company its self internally .Secondary data is be obtained from other sources that have not been fully analyzed maybe from externally. The company can adopt the user machine system where both human and machines are involved in the performance of some activities in the accomplishment of a goal .The company can also use open system one that interacts with the environment By the use of database it can be of help in that the management can be able to evaluate historical data and be able to know how product have been manufactured in the company hence achieving in product

My Teaching Philosophy Assignment Example | Topics and Well Written Essays - 500 words

My Teaching Philosophy - Assignment Example Only when I recognize my limitations will I be able to work a way towards overcoming them and becoming a better teacher. This way, I will also be passing the message along to my students that when they recognize their own limitations, it is only then that they can start actual learning. For this purpose, I will hold class discussions as well as set up tasks that challenge not only the students but for me as well so that together we can start walking towards the path of self-enlightenment, of sorts, where we finally become excellent receptacles of knowledge. To foster a learning environment, I think, I do not need to merely stick to the curriculum as a system of rote in their classroom, but rather I should come up with new and innovative ways in which the students learn their curriculum through novel and new ways, which capture their imagination and make them eager to participate in what is going on. There are, I feel, many students who are held behind, not because they are unintelligent, but because they are not moved by the typical and traditional methods of teaching. By infusing the classroom with some innovative techniques of teaching, I feel I will be able to draw in the â€Å"bored† sector of the classroom as well, thus making it easier for everyone to learn by participation and taking an interest. This would imply that I do not pin-up unrealistic or idealistic hopes about my own teaching capabilities as well as the learning capabilities of my students. I should not only be realistic about the results and outcomes of my teaching techniques and capabilities but should also keep in mind that the students, at their young age, have much more to cope with in their lives and studies are not always their first priority.

Global Economic crisis and sub-Saharan Africa Essay

Global Economic crisis and sub-Saharan Africa - Essay Example This trend of borrowing also impacted some of the banks and financial institutions in the Sub-Saharan region as well, but the extent was somewhat lesser. Arieff et al (2009) figure out that, in nearly two decades, it is for the first time that South Africa has started experiencing recessionary trends. The study also points out that, countries like Nigeria and Angola to 'have reported significant revenue shortfalls due to the fall in global oil prices'. A recent study by IMF underlines the gravity of the situation by stating that, "The current financial crisis is more global than any other period of financial turmoil in the past 60 years" (IMF, 2009). This study further quotes from the 'World Economic Outlook, 2009' that the global growth is bound to further slow down from about 3.5 percent to just about 0.5 percent in 2009 with shades of some improvement by the middle of 2010. The Sub-Saharan region, also known as black Africa comprises of countries with many lesser developed nations like Angola, Burkina Faso, Burundi, Rwanda, Somalia, Ghana etc. While many like South Africa, Mauritius, Senegal, Nigeria, Kenya etc. have been able to register indicative growth figures many other like Rwanda, Sierra Leone etc. have been experiencing difficulties on many fronts on account of civil wars as well. This is further eroding the overall growth figures of the Sub-Saharan region. FDIs also prove to be advantageous for the economic growth pote ntial of a country. But a number of factors impact the investment climate within the region. As is evident from the 'World Economic Forum's 'Global Competitiveness Report 2009-10' while countries like Zimbabwe have registered some improvement in the investment climate, there are many other countries in the region which are yet to tide over the domestic unrest (WEF, 2009). It is under such circumstances that the overall economic situation in the Sub-Saharan region is a mix of conflictions. This study is therefore an effort to find out a larger picture of the economic growth potential in the Sub-Saharan region and how the global economic crisis has impacted the growth potential in different countries within the region. Research Questions and Objectives The main intention of the study is to develop an understanding of the diversities in the Sub-Saharan region, the years of neglect and under-development faced by the people of this region and to what extent the global economic crisis has further decelerated the economic growth prospects of the region. During the study an effort will be made to analyze the general economic conditions of some of the countries in the sub-Saharan region and how these countries have progressed over the years in the post globalization period. A broader understanding will be made about the subject by soliciting the opinion and recommendations of reputed organizations and analysts. An attempt would be made to seek answers to the following key objectives; Establish a well studied relationship between the economic prospects of the Sub-Saharan region vis--vis some of the leading nations like the US, China, UK etc. To find out the development figures of the sub-Saharan r

Comparison On Classification Techniques Using Weka Computer Science Essay

Comparison On Classification Techniques Using Weka Computer Science Essay Computers have brought tremendous improvement in technologies especially the speed of computer and reduced data storage cost which lead to create huge volumes of data. Data itself has no value, unless data changed to information to become useful. In past two decade the data mining was invented to generate knowledge from database. Presently bioinformatics field created many databases, accumulated in speed and numeric or character data is no longer restricted. Data Base Management Systems allows the integration of the various high dimensional multimedia data under the same umbrella in different areas of bioinformatics. WEKA includes several machine learning algorithms for data mining. Weka contains general purpose environment tools for data pre-processing, regression, classification, association rules, clustering, feature selection and visualization. Also, contains an extensive collection of data pre-processing methods and machine learning algorithms complemented by GUI for different machine learning techniques experimental comparison and data exploration on the same problem. Main features of WEKA is 49 data preprocessing tools, 76 classification/regression algorithms, 8 clustering algorithms, 3 algorithms for finding association rules, 15 attribute/subset evaluators plus 10 search algorithms for feature selection. Main objectives of WEKA are extracting useful information from data and enable to identify a suitable algorithm for generating an accurate predictive model from it. This paper presents short notes on data mining, basic principles of data mining techniques, comparison on classification techniques using WEKA, Data mining in bioinformatics, discussion on WEKA. Introduction Computers have brought tremendous improvement in technologies especially the speed of computer and data storage cost which lead to create huge volumes of data. Data itself has no value, unless data can be changed to information to become useful. In past two decade the data mining was invented to generate knowledge from database. Data Mining is the method of finding the patterns, associations or correlations among data to present in a useful format or useful information or knowledge[1]. The advancement of the healthcare database management systems creates a huge number of data bases. Creating knowledge discovery methodology and management of the large amounts of heterogeneous data has become a major priority of research. Data mining is still a good area of scientific study and remains a promising and rich field for research. Data mining making sense of large amounts of unsupervised data in some domain[2]. Data mining techniques Data mining techniques are both unsupervised and supervised. Unsupervised learning technique is not guided by variable or class label and does not create a model or hypothesis before analysis. Based on the results a model will be built. A common unsupervised technique is Clustering. In Supervised learning prior to the analysis a model will be built. To estimate the parameters of the model apply the algorithm to the data. The biomedical literatures focus on applications of supervised learning techniques. A common supervised techniques used in medical and clinical research is Classification, Statistical Regression and association rules. The learning techniques briefly described below as: Clustering Clustering is a dynamic field of research in data mining. Clustering is an unsupervised learning technique, is process of partitioning a set of data objects in a set of meaningful subclasses called clusters. It is revealing natural groupings in the data. A cluster include group of data objects similar to each other within the cluster but not similar in another cluster. The algorithms can be categorized into partitioning, hierarchical, density-based, and model-based methods. Clustering is also called unsupervised classification: no predefined classes. Association Rule Association rule in data mining is to find the relationships of items in a data base. A transaction t contains X, itemset in I, if X à  t. Where an itemset is a set of items. E.g., X = {milk, bread, cereal} is an itemset. An association rule is an implication of the form: X  ® Y, where X, Y ÃÅ' I, and X ÇY = Æ An association rules do not represent any sort of causality or correlation between the two item sets. X Þ Y does not mean X causes Y, so no Causality X Þ Y can be different from Y Þ X, unlike correlation Association rules assist in marketing, targeted advertising, floor planning, inventory control, churning management, homeland security, etc. Classification Classification is a supervised learning method. The classification goal is to predict the target class accurately for each case in the data. Classification is to develop accurate description for each class. Classification is a data mining function consists of assigning a class label of objects to a set of unclassified cases. Classification A Two-Step process show in figure 4. Data mining classification mechanisms such as Decision trees, K-Nearest Neighbor (KNN), Bayesian network, Neural networks, Fuzzy logic, Support vector machines, etc. Classification methods classified as follows: Decision tree: Decision trees are powerful classification algorithms. Popular decision tree algorithms include Quinlans ID3, C4.5, C5, and Breiman et al.s CART. As the name implies, this technique recursively separates observations in branches to construct a tree for the purpose of improving the prediction accuracy. Decision tree is widely used as it is easy to interpret and are restricted to functions that can be represented by rule If-then-else condition. Most decision tree classifiers perform classification in two phases: tree-growing (or building) and tree-pruning. The tree building is done in top-down manner. During this phase the tree is recursively partitioned till all the data items belong to the same class label. In the tree pruning phase the full grown tree is cut back to prevent over fitting and improve the accuracy of the tree in bottom up fashion. It is used to improve the prediction and classification accuracy of the algorithm by minimizing the over-fitting. Compared to other data mining techniques, it is widely applied in various areas since it is robust to data scales or distributions. Nearest-neighbor: K-Nearest Neighbor is one of the best known distance based algorithms, in the literature it has different version such as closest point, single link, complete link, K-Most Similar Neighbor etc. Nearest neighbors algorithm is considered as statistical learning algorithms and it is extremely simple to implement and leaves itself open to a wide variety of variations. Nearest-neighbor is a data mining technique that performs prediction by finding the prediction value of records (near neighbors) similar to the record to be predicted. The K-Nearest Neighbors algorithm is easy to understand. First the nearest-neighbor list is obtained; the test object is classified based on the majority class from the list. KNN has got a wide variety of applications in various fields such as Pattern recognition, Image databases, Internet marketing, Cluster analysis etc. Probabilistic (Bayesian Network) models: Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. Bayesian algorithms predict the class depending on the probability of belonging to that class. A Bayesian network is a graphical model. This Bayesian Network consists of two components. First component is mainly a directed acyclic graph (DAG) in which the nodes in the graph are called the random variables and the edges between the nodes or random variables represents the probabilistic dependencies among the corresponding random variables. Second component is a set of parameters that describe the conditional probability of each variable given its parents. The conditional dependencies in the graph are estimated by statistical and computational methods. Thus the BN combine the properties of computer science and statistics. Probabilistic models Predict multiple hypotheses, weighted by their probabilities[3]. The Table 1 below gives the theoretical comparison on classification techniques. Data mining is used in surveillance, artificial intelligence, marketing, fraud detection, scientific discovery and now gaining a broad way in other fields also. Experimental Work Experimental comparison on classification techniques is done in WEKA. Here we have used labor database for all the three techniques, easy to differentiate their parameters on a single instance. This labor database has 17 attributes ( attributes like duration, wage-increase-first-year, wage-increase-second-year, wage-increase-third-year, cost-of-living-adjustment, working-hours, pension, standby-pay, shift-differential, education-allowance, statutory-holiday, vacation, longterm-disability-assistance, contribution-to-dental-plan, bereavement-assistance, contribution-to-health-plan, class) and 57 instances. Figure 5: WEKA 3.6.9 Explorer window Figure 5 shows the explorer window in WEKA tool with the labor dataset loaded; we can also analyze the data in the form of graph as shown above in visualization section with blue and red code. In WEKA, all data is considered as instances features (attributes) in the data. For easier analysis and evaluation the simulation results are partitioned into several sub items. First part, correctly and incorrectly classified instances will be partitioned in numeric and percentage value and subsequently Kappa statistic, mean absolute error and root mean squared error will be in numeric value only. Figure 6: Classifier Result This dataset is measured and analyzed with 10 folds cross validation under specified classifier as shown in figure 6. Here it computes all required parameters on given instances with the classifiers respective accuracy and prediction rate. Based on Table 2 we can clearly see that the highest accuracy is 89.4737 % for Bayesian, 82.4561 % for KNN and lowest is 73.6842 % for Decision tree. In fact by this experimental comparison we can say that Bayesian is best among three as it is more accurate and less time consuming. Table 2 : Simulation Result of each Algorithm DATA MINING IN BIONFORMATICS Bioinformatics and Data mining provide challenging and exciting research for computation. Bioinformatics is conceptualizing biology in terms of molecules and then applying informatics techniques to understand and organize the information associated with these molecules on a large scale. It is MIS for molecular biology information. It is the science of managing, mining, and interpreting information from biological sequences and structures. Advances such as genome-sequencing initiatives, microarrays, proteomics and functional and structural genomics have pushed the frontiers of human knowledge. Data mining and machine learning have been advancing with high-impact applications from marketing to science. Although researchers have spent much effort on data mining for bioinformatics, the two areas have largely been developing separately. In classification or regression the task is to predict the outcome associated with a particular individual given a feature vector describing that individu al; in clustering, individuals are grouped together because they share certain properties; and in feature selection the task is to select those features that are important in predicting the outcome for an individual. We believe that data mining will provide the necessary tools for better understanding of gene expression, drug design, and other emerging problems in genomics and proteomics. Propose novel data mining techniques for tasks such as Gene expression analysis, Searching and understanding of protein mass spectroscopy data, 3D structural and functional analysis and mining of DNA and protein sequences for structural and functional motifs, drug design, and understanding of the origins of life, and Text mining for biological knowledge discovery. In todays world large quantities of data is being accumulated and seeking knowledge from massive data is one of the most fundamental attribute of Data Mining. It consists of more than just collecting and managing data but to analyze and predict also. Data could be large in size in dimension. Also there is a huge gap from the stored data to the knowledge that could be construed from the data. Here comes the classification technique and its sub-mechanisms to arrange or place the data at its appropriate class for ease of identification and searching. Thus classification can be outlined as inevitable part of data mining and is gaining more popularity. WEKA data mining software WEKA is data mining software developed by the University of Waikato in New Zealand. Weka includes several machine learning algorithms for data mining tasks. The algorithms can either call from your own Java code or be applied directly to a dataset, since WEKA implements algorithms using the JAVA language. Weka contains general purpose environment tools for data pre-processing, regression, classification, association rules, clustering, feature selection and visualization. The Weka data mining suite in the bioinformatics arena it has been used for probe selection for gene expression arrays[14], automated protein annotation[7][9], experiments with automatic cancer diagnosis[10], plant genotype discrimination[13], classifying gene expression profiles[11], developing a computational model for frame-shifting sites[8] and extracting rules from them[12]. Most of the algorithms in Weka are described in[15]. WEKA includes algorithms for learning different types of models (e.g. decision trees, rule sets, linear discriminants), feature selection schemes (fast filtering as well as wrapper approaches) and pre-processing methods (e.g. discretization, arbitrary mathematical transformations and combinations of attributes). Weka makes it easy to compare different solution strategies based on the same evaluation method and identify the one that is most appropriate for the problem at hand. It is implemented in Java and runs on almost any computing platform. The Weka Explorer Explorer is the main interface in Weka, shown in figure 1. Open fileà ¢Ã¢â€š ¬Ã‚ ¦ load data in various formats ARFF, CSV, C4.5, and Library. WEKA Explorer has six (6) tabs, which can be used to perform a certain task. The tabs are shown in figure 2. Preprocess: Preprocessing tools in WEKA are called Filters. The Preprocess retrieves data from a file, SQL database or URL (For very large datasets sub sampling may be required since all the data were stored in main memory). Data can be preprocessed using one of Wekas preprocessing tools. The Preprocess tab shows a histogram with statistics of the currently selected attribute. Histograms for all attributes can be viewed simultaneously in a separate window. Some of the filters behave differently depending on whether a class attribute has been set or not. Filter box is used for setting up the required filter. WEKA contains filters for Discretization, normalization, resampling, attribute selection, attribute combination, Classify: Classify tools can be used to perform further analysis on preprocessed data. If the data demands a classification or regression problem, it can be processed in the Classify tab. Classify provides an interface to learning algorithms for classification and regression models (both are called classifiers in Weka), and evaluation tools for analyzing the outcome of the learning process. Classification model produced on the full trained data. WEKA consists of all major learning techniques for classification and regression: Bayesian classifiers, decision trees, rule sets, support vector machines, logistic and multi-layer perceptrons, linear regression, and nearest-neighbor methods. It also contains metalearners like bagging, stacking, boosting, and schemes that perform automatic parameter tuning using cross-validation, cost-sensitive classification, etc. Learning algorithms can be evaluated using cross-validation or a hold-out set, and Weka provides standard numeric performance mea sures (e.g. accuracy, root mean squared error), as well as graphical means for visualizing classifier performance (e.g. ROC curves and precision-recall curves). It is possible to visualize the predictions of a classification or regression model, enabling the identification of outliers, and to load and save models that have been generated. Cluster: WEKA contains clusterers for finding groups of instances in a datasets. Cluster tools gives access to Wekas clustering algorithms such as k-means, a heuristic incremental hierarchical clustering scheme and mixtures of normal distributions with diagonal co-variance matrices estimated using EM. Cluster assignments can be visualized and compared to actual clusters defined by one of the attributes in the data. Associate: Associate tools having generating association rules algorithms. It can be used to identify relationships between groups of attributes in the data. Select attributes: More interesting in the context of bioinformatics is the fifth tab, which offers methods for identifying those subsets of attributes that are predictive of another (target) attribute in the data. Weka contains several methods for searching through the space of attribute subsets, evaluation measures for attributes and attribute subsets. Search methods such as best-first search, genetic algorithms, forward selection, and a simple ranking of attributes. Evaluation measures include correlation- and entropy based criteria as well as the performance of a selected learning scheme (e.g. a decision tree learner) for a particular subset of attributes. Different search and evaluation methods can be combined, making the system very flexible. Visualize: Visualization tools shows a matrix of scatter plots for all pairs of attributes in the data. Practically visualization is very much useful which helps to determine learning problem difficulties. WEKA visualize single dimension (1D) for single attributes and two-dimension (2D) for pairs of attributes. It is to visualize the current relation in 2D plots. Any matrix element can be selected and enlarged in a separate window, where one can zoom in on subsets of the data and retrieve information about individual data points. A Jitter option to deal with nominal attributes for exposing obscured data points is also provided. interfaces to Weka All the learning techniques in Weka can be accessed from the simple command line (CLI), as part of shell scripts, or from within other Java programs using the Weka API. WEKA commands directly execute using CLI. Weka also contains an alternative graphical user interface, called Knowledge Flow, that can be used instead of the Explorer. Knowledge Flow is a drag-and-drop interface and supports incremental learning. It caters for a more process-oriented view of data mining, where individual learning components (represented by Java beans) can be connected graphically to create a flow of information. Finally, there is a third graphical user interface-the Experimenter-which is designed for experiments that compare the performance of (multiple) learning schemes on (multiple) datasets. Experiments can be distributed across multiple computers running remote experiment servers and conducting statistical tests between learning scheme. Conclusion Classification is one of the most popular techniques in data mining. In this paper we compared algorithms based on their accuracy, learning time and error rate. We observed that, there is a direct relationship between execution time in building the tree model and the volume of data records and also there is an indirect relationship between execution time in building the model and attribute size of the data sets. Through our experiment we conclude that Bayesian algorithms have good classification accuracy over above compared algorithms. To make bioinformatics lively research areas broaden to include new techniques.

Egypt Essay -- Egyptian Politics, Economy, Culture

Egypt 2 Egypt is a very important trade country to its surroundings. Egypt has one of the most interesting rivers in the world called the Nile River. Its is three hundred and eighty-six thousand square miles four times the size of the British Isles. (Wilkins Frances 1999.). Approximately the size of Texas and New Mexico put together There year of independence is 1922. (Worth & El-Naggar 2010) There highest point of elevation is Mount Catherine of two thousand six hundred and twenty-nine meters. The lowest elevation point is Qattara Depression, which is one hundred and thirty-three meters. The natural hazards do Egypt are earthquakes, flash floods, landslides, volcanic activity, windstorms called Khams in, dust storms, and sandstorms. (Birgeneau Dean. 2002). Egypt’s is a small country located in Africa. It is in the northeastern part of Africa next to the Mediterranean Sea and Red sea. Its surrounding countries are Libya and Sudan. Its absolute location is twenty-seven degrees north and thirty degrees east. The total area surrounding is one million four hundred and fifty square kilometers. The land could fit three New Mexico’s inside. (Britannica Encyclopedia 1995.) Egypt can divide into elevated plateaus and low plains. There are many places with ground water discharge also. (Cultural Gram). The most fertile land in the world is along the Nile River. The Egyptians all relay on the river to there everyday needs. In the city Alexandria there is the largest seaport called Port Said. This is located along the Mediterranean Sea. The land in Egypt is very arid. (Wilkins Frances 1999.). Egypt is divided into four regions. Number one is the Nile valley and Delta. Number two is the Western desert including Mediterranean Sea. Number t... ... from using their Egypt 7 river as much as possible. Egypt has a very strong trade connection with coastal countries along the Mediterranean and Red sea. Also has a strong trade with its neighboring countries. Yes Egypt may not like to share the river but it brings in good profit for their whole Country. (Foreign Affairs 2010) Most Egyptians prefer a relaxed and quite life. They are very patient people Characterized by the word Ma alesh which means â€Å"don’t worry†. This term helps the people dismiss concerns or conflicts that are not that serious. They are emotionally expressive which helps in their poor conditions. Society is a serious debate battling for the hearts of the Egyptians. Rural men wear gallabeyya to long clock like dresses. All women must not show any skin but the eyes. There country is very protective and understanding. (Cultural gram).

The history of unions in America

The history of unions in America has seen a rich and contentious past. The Knights of Labor was the first major union in America, attracting nearly 750,000 members at the height of its popularity but did not have the lasting power to remain relevant in the American labor movement (Commanger, 1947, p 39) With the formation of the American Federation of Labor by Samuel Gompers in 1886, the American worker now had a strengthened voice when bargaining with their employers.   However, this new founded power and influence would not come easily.The Pullman Strike of 1894 as well as the tragedy at the Triangle Shirtwaist factor in 1911 showed to the plight that the American worker had still to overcome.(Burns, 1999) This occurred at a time when the exploitation of the American worker was at its height. Millions of unskilled immigrants were coming from Central and Eastern Europe, not being able to speak the language and consenting to any job that they were willing to obtain.The formation of the U.S. Department of Labor in 1913 and the Clayton Act of 1914 helped recognize the importance and influence that the American worker had on the economy of the country, and therefore, its future success. (Commanger, 1947, p. 78)   The AFL would further increase its power with the 1955 merger of the other great labor union in America, the Congress of Industrial Organizations or the CIO, formed by labor leader John L. Lewis. Together, they were able to pool their resources and collective strength and now, there are nine million members of the AFL- CIO and up until the last decade, their power in collective bargaining for its workers had been strong but now face new and daunting challenges into the new century.The history of trade unions can be found as far back as in the lives and ideology of the Pilgrims and Puritans of the early 17th century. It was they who gave to this country, the idea of hard work being a virtue and a reward from God and that a strong work ethic, or Protest ant Work Ethic; a term given to American culture by Sociologist Max Weber in 1905 to explain the affluent society that America was now able to offer.During this time and into the American Revolution, unions of various workers, from craftsmen to cabinet makers and cobblers constituted very primitive, but existing unions which were designed to help protect the interest of the worker over the merchant and ruling classes. One of the first notable strikes in American history was the 1974 New York strike of printers who lobbied for higher pay and shorter hours. There were strikes in Philadelphia in 1776 and in Boston in 1799; all over some of the most basic rights that the workers felt that they were entitled to under the â€Å"pursuit of happiness† clause in the Constitution.These efforts to organize were mostly ineffective but most importantly, reflected the need and desire for the worker to have his rights protected against the exploitation of the ruling and merchant class. The exploitation of the worker, as is seen today, is simply not just one receiving a low wage but any wage that is in disproportion to the amount that his services is worth.The first union seen in America was the Nation Labor Union in 1866.(Gillian, 1998. p. 87) The Union was able to persuade Congress to pass an eight hour work day law for federal workers. The law would require a great deal of expanding if it were to meet the requirements of the other 99% of America’s workers.   This would not be seen until the start of the 20th century, but as it is the case with most things in history, progress made today, was steeped in the struggles of the past. The labor union was no exception.The Knights of Labor was formed in 1869 and was the first major union with a lasting power in American history. At its peak, the Knights of Labor boasted a membership of 750,000. This was because there were no restrictions put on the membership of white and black, male and female and skilled and unsk illed workers.( Commanger, 1947. p. 39)Terrance Powdery and the Knights, for the brief time that they were able to remain organized, remained a political force in the country. However, due to the riff that was being caused by skilled and unskilled workers as well as the riot in Haymarket Square in 1886 Chicago, the influence of the Knights declined steadily.(Miller, 2001, p. 178) One that was to replace the influence of the Knights, the American Federation of Labor, was able to eclipse the power and influence of all labor unions that have come before and with the merger with the Congress of Industrial Organizations in 1955, all labor unions in America since.The American Federation of Labor, founded by Samuel Gompers in 1886, remains the most important union in America, 120 years after it was first founded.(Johnson, 2001) Gompers, who first became involved in the struggle for equality among the workers, was a leader of his local union and of the national Cigar Makers Union. While wor king in the cigar shops, in order to escape from the boredom of the job, began to read and educate himself ob all aspects of trade, the past exploitation of the worker and how it would be to organize these same workers in order to collectively pool, the strengths of the workers in this country.Also, the industrialization of America, as being a direct contributor of the Industrial revolution, now had a surplus in the demand for unskilled labor, designed only to feed and operate the machines that monotonously turned out the product on a much wider scale than ever previously imagined.   This is represented in an aspect of the mission statements of the AFL. †The various trades have been affected by the introduction of machinery, the subdivision of labor, the use of women’s and children’s labor and the lack of apprentice system-so that the skilled trades were rapidly sinking to the level of the pauper labor.† (Johnson, 2001) The AFL later declared: â€Å"To p rotect the skilled labor of America from being reduced to beggary and to sustain the standard of American workmanship and skill, the trade unions of America have been established.† (Peters, 1991 p. 328) This remained their mission statement, even into their merger with the CIO in 1955.One of the first representations of the need for such a union was in the 1894 Pullman Strike on the south side of Chicago.(Jones, 1972 p. 462) This was the second largest strike in the 19th century and one that at the start of the strike, had a lot of promise regarding the possibility for change. Even though the strike was not directly related to the AFL, it showed the hopelessness and powerless pessimism that the workers had regarding their inability to collectively bargain for what they felt was their due rights.The Pullman Company was involved in the building of Pullman sleeper cars for the railroad companies. The workers were not paid in American dollars but in script in order to buy their ne eded supplies at the company stores and pay rent for the housing to the company as well. â€Å"When George Pullman lowered wages in relation to the 1893 Depression, yet did not lower the rents or the prices at the stores, the workers went in strike. In response, the government swore in 3,400 special deputies, President Cleveland called in the federal troops and the strike was put down with the workers gaining nothing that they had wanted.† (Jones, 1972 p. 464) The strike had turned out to be a complete failure for the workers.The strike did serve as a victory for the government as injunctions were now being used with a greater frequency as an effective legal weapon against union organizing and strikes.   Another event in American History that had tragic consequences but which led to the formation of a strengthened union in America was the 1911 Triangle Shirtwaist Company. This occurred on March 25, 1911.(Burns, 1999)   Many strikes, some led by the AFL, were being organiz ed all across the city of New York.Their demands were the result of the exploitation of the immigrant workers, mostly women and children who were being exploited to a degree than a modern American society would find hard to comprehend. A strike which failed in its objectives, had transpired in the immediate weeks before the fire. As a result of the attempted strike, the factory owners locked the doors to the factory and covered up the windows as to eliminate the number of distractions to the immediate work of the immigrants as well as a lesser ability to discuss and organize another strike. Only twenty minutes before the workers were to go home, a fire broke out on the 8th floor of the factory.The workers were trapped and instead of being burnt up in the fire, many chose to jump to their deaths. Women held the hands of their co workers, shut their eyes and jumped together, only to bounce off the pavement, dead!† (Burns, 1999)   This horrific event led to the formation of the U.S. Department of Labor in 1913 and the Clayton Act of 1914.(Byrne, 2006) Both of these were formed at the request and influence of the AFL which was then enjoying an increase in their strength and authority among the political circles.This is due to the fact of the greater industrialization of the American economy as well as a mass influx of immigrant workers coming to America from Central and Eastern Europe in order to escape oppressive economies and societies within their former homes. Many of these workers did not speak English as did many of the former   mass influx of immigrants do in the middle of the 19th century and who had become established at this time.   A large majority of these workers were unskilled laborers, thus had even less power and influence to bargain on an individual basis with the improvement of their individual rights before the passage of the Clayton Act.Therefore, the AFL had a now greater ability to influence for the betterment of its members, impr oved working conditions. The Clayton Act served as one of the most important pieces of legislation in the entire history of the American labor movement. The Act made it illegal to treat the worker as simply a commodity for financial gain above his worth as a human being.This increased the social standing and importance of the worker but also, excluded him from the provisions of the Sherman Anti Trust Act which had served as the legal basis for injunctions against union organized strikes.(Commanger, 1947 p. section 3 p. 43) The Clayton Act also gave the right to the worker to peacefully protest, form strikes and boycotts and dramatically limited the use of injunctions in labor disputes. The 1st amendment to the Constitution had been long ignored when it said that a citizen had the right to peacefully assemble. In the years leading up to the passage of the Clayton Act, the American worker was not allowed to peacefully assemble as their rights as seen in the Pullman Strike and in the p revention of any further strikes in the garment industry in New York City, was prevented. The importance of the Clayton Act was accurately detailed when AFL founder and President Gompers referred the act as the Magna Carta. It was indeed.In the 1920’s a decade that was seen as a time of great progress in American society, was a tougher time for the American industrial worker. The 1920’s was a time when unemployment rose quietly and the American worker, especially the American farmer, found himself faced with the daily problem of having to feed his family from the product of his own labor. The post WWI era brought wages down sharply and the membership numbers for unions decreased sharply as the major unions lost nearly a million members from 1920-1923 (Keeler, 1982 p. 87)Also, due to the scare that came over America, not to be bested until the 1950’s, the fear that the Communist revolution, which had taken place in the Soviet Union in 1917, and feared infiltratio n into American industry, was the source for suspicion from the American public as they looked into the unions of that day. Strikebreaking and blacklisting of those who did strike or who talked or striking, was now seen as a patriotic defense of the country. â€Å"The yellow dog contract which workers had to sign in order to then be considered for a job by their employer, bound them to never join a union’ at the same time, these large corporations promoted employees representation plans or company unions-pale and generally useless imitations of real unions.† (Keeler, 1982 p. 91) In order to get a job, one had to be assured that they had no ties to unions and fees that were paid under the table to the employer, was the only way in which one could hope to even be considered for employment.The influence of the unions enjoyed resurgence when the AFL joined forces with the Committee for Industrial Organization, later known as the Congress for Industrial Organizations in 193 8, or the CIO. With its colorful leader John L. Lewis, a former president of the Mine Workers Union in the years after WWI, actually led the fight in bitter attacks on many members and aspects of the AFL and their competing vision for trade unions in America.The two organizations began to find common ground in the years during and immediately after WWII. Some of the old antagonisms were put aside and a merger was formed on December 5, 1955. An aspect of the mission statement as part of that historic day stated that the two organizations shared many of the same aspirations for the future of the American worker.: â€Å"What labor wants †¦ is what theAmerican people want: honorable peace in the world, rising living standards at home and abroad, the human dignity that is the reward of economic progress, and the enjoyment of democratic liberties.† (McMillian, 1967 p. 232) The press at the time was also optimistic about the future of this historic merger: â€Å"†No doub t about it, unity of labor will bring benefits all around–in closer relationships between international and national unions †¦ in organizing drives among the millions of workers in industries that are largely unorganized, improved legislation, more effective political activity, and extended work with other community groups–all of them are in the cards.† (McMillian, 1967 p. 235)It was the design of the merger to pool together the collective strengths of the two unions, which at times, had formed a counterproductive and contentious relationship in the past as they both battled for an increase of influence in their own separate ideas of the future of labor in America. It was commented by the press that this merger might be helpful in the cessation of these quarrels. â€Å"Immediate effects of the merger will be to give the American trade union movement a single voice on political and legislative matters, instead of two separate and sometimes divergent voices,à ¢â‚¬ (McMillian, 1967 p. 237) The merger gave the two unions, now one single union, and the largest number of members than any previous union in the history of the country. This, along with the growing power of the teamsters in the 1960’s and 1970’s and their colorful and sometimes controversial leader Jimmy Hoffa, the influence of the union, in both the lives of the worker as well as with politics, increased steadily over time.The constitution of the AFL-CIO, as formed in relation to the merger, established seven different and separate departments. They are still in operation within the union. They are the Building and Construction Trades Department, the Food and Allied Services Trades, the maritime Trades and Metal Trades department as well as the Department for Professional Employees and the Transportation and Union Label Departments.There are also non-profit, non partisan organizations that have since been included in the charter of the AFL-CIO. Some of these incl ude, in order strengthening the diversity and membership of the union, the Black Trade Unionists and the Coalition of Labor Union Women. Some of the major function of these and other such groups is to lobby Congress, issue research reports and publications and build coalitions in order to further strengthen the power of the union with other groups. The AFL-CIO is made up of a combination of 54 national groups including some in Canada as well. From 1955 until 2005, the AFL-CIO came to be the recognized voice of almost all unionized workers in America. However, in the most immediate years, the influence and power to collectively bargain has hit a major impediment in the steep decline of their members.The future of the AFL-CIO is uncertain. As the organization prepared for its 50th anniversary celebration, three of the four largest unions announced that they would be withdrawing from the union. The Teamsters, which had always had a contentious relationship with the AFL-CIO left as well as the Service Employees International Union. The riffs, though seen as very personal, could not be salvaged as of yet and the future of the AFL-CIO as it continues to maintain the same level of power and influence as it did in the past, is being threatened.Another sign of the times, and one that will not likely be reversed anytime soon, is the millions of jobs that have gone overseas to countries where unions are not allowed and the worker received pennies on the dollar of the wages of the American worker. In a way, the AFL-CIO is a victim of their own success.   The improvements that they were able to give the American worker, mandatory health care from most companies, holiday and sick pay, overtime pay and a 40 hour work week have now negated themselves from many of the jobs that were once seen as bastions for the American worker but have now gone overseas by the millions.Unfettered capitalism and the reluctance for Congress to place the restrictive tariffs on these goods, for mer inventions by Americans, the television, most aspects of the radio and automobile as well as dozens of various consumer goods which had their origins in America, even the American flag, are all built in underdeveloped countries where the worker has little protection from being exploited and where businesses can reap profits in the billions. The future of the blue collar American worker is in jeopardy and the AFL-CIO may end up being powerless to stop it.WORKS CITEDBurns, R. ( 1999)   The History of New York: Boston: PBS VideoByrne, M (2006) America’s Labor Movement. PBS: BostonCommanger, H.S. (1947) Documents of American History. New York: Century Publishers.Gillian, L. (1998) The Progressives Boston: PBS American ExperienceHoyt, A ( 2001) Chicago: City of the Century. Boston: PBS American ExperienceJohnson, P ( 2006) The Supreme Court.   Boston: PBS VideoKeeler, M. (1982) The History of the AFL. Chicago: University of Chicago Press..Jones, R. (1972) The History of La bor: The Pullman Strike. New York: Premier Press.McMillian, J. (1967) The Influences of the American Federation of Labor.   New York: Simon & Schuster.Negal, J ( 2001) The Progressive Movement. Bloomington: University of Indiana Press.Miller. D. (2001) Chicago: City of the Century. New York: Simon & Schuster.Peters, M. (1991) The Clayton Act. Chapel Hill: University of North Carolina PressRiis, J. ( 2001) How the Other Half Lives. New York: Simon & Schuster.