Heinrich Himmler Essays - Heinrich Himmler, Nazi SS, The Holocaust

Heinrich Himmler Heinrich Himmler was a German Nazi police official and leader of the black-shirted Schutzstaffel (SS) troops. He was also the leader of the Gestapo, otherwise known as the German secret police. The work that he performed for Hitler has made Heinrich Himmler one of the most notorious war criminals of World War II. Heinrich Himmler was born on October 7, 1900 in Munich. He was the son of a Catholic secondary school master. Himmler attended the Technical College in Munich, and also served in World War I as a clerk in the Eleventh Bavarian Infantry. He received a diploma in agriculture after the war and began to join militant rightist organizations. Himmler joined Hitler in 1919. In November of 1923, he participated in the Munich Beer Hall Putsch, and was appointed business manager in Bavaria. It wasn't until 1925 that Heinrich Himmler joined the Nazi Party and began to gain a great deal of power in it. In 1929, Himmler became the leader of the SS troops. He began increasing the size of the SS: it grew to 50,000 by 1933. He soon became head of Munich police and eventually all German police units outside of Prussia. In 1934, he established the Third Reich's first concentration camp at Dachau. Himmler became the leader of the Gestapo in 1936 and began to set up his 17 concentration camps. In 1934, he was the Mastermind behind the blood purge that eliminated the SA as a power factor. Heinrich Himmler would make the SS the second most powerful armed body in Germany. When World War II began, Heinrich Himmler became even more powerful. In 1941, Hitler decided to rid the world of the Jews. Himmler was put in charge of organizing the death camps in Eastern Europe. When Germany invaded the Soviet Union in 1943, Himmler was appointed Minister of the Interior. In 1944, Heinrich Himmler reached the height of his power because of a threat on Hitler's life. He was the Commander in Chief of the German Home Forces, the most powerful man next to Hitler. During this time, more concentration camps began to appear. Unfortunately, Himmler's power would soon fade away. Heinrich Himmler began to suffer from psychosomatic illnesses during the end of the war, and because of his illness was shoved aside by Hitler. Himmler had hoped to succeed Hitler and had already negotiated with the Swedish to surrender Germany to the Allies but continue War against the Soviet Union. This event occurred in April of 1945. When Hitler learned of this, he stripped Himmler of all his offices and ordered him arrested. Himmler disguised himself as a common soldier and attempted to escape leaving Hitler to die in a bunker in Berlin. He was captured on May 21, 1945, by the British near Bremen and put in detention at Lunenburg. Heinrich Himmler committed suicide two days later by swallowing poison that he had concealed in his mouth throughout his ordeal. Heinrich Himmler had been very devoted to Hitler. He was a ruthless man who sought power equal to that of Hitler's. Himmler was fanatical in his belief of the Nazi ideology and created the reign of terror that came from the Third Reich. Heinrich Himmler is most remembered as the prime person behind the cause of the Holocaust and murderer of millions of Jews, slavs, and non-Aryan people throughout Germany. European History

Word Choice Historical vs. Historic - Proofread My Paper

Word Choice Historical vs. Historic - Proofread My Paper Word Choice: Historical vs. Historic Even native English speakers get â€Å"historical† and â€Å"historic† mixed up, as many assume they mean the same thing. There is, however, a difference. And when it comes to academic writing, accuracy is everything. Make sure you use the terms â€Å"historical† and â€Å"historic† correctly in your work! Historical (Related to History) The word â€Å"historical† is a general term meaning â€Å"related to history.† It can therefore be used when referring to history or past events: Historical records show that Chicago’s population grew quickly between 1850 and 1900. It can also be used when referring to something that is based in the past: Works of historical fiction are based in the past, but they don’t report true events. Just in case you thought Long John Silver was an actual pirate. But in all cases, â€Å"historical† refers to history or the past in general. Historic (Of Historical Importance) The word â€Å"historic† has a more specific meaning, since it refers to something that has particular importance in history. This can be either something notable from the past: Nixon’s resignation was a historic moment in U.S. politics. Not a crook, eh? Or it can be something from more recent times, or even from the present day, that seems noteworthy in comparison with past events: The Chicago Cubs’ historic 2016 World Series victory will be remembered by fans forever. The key thing to remember is that â€Å"historic† is used when something stands out from history. Historical or Historic? Although these terms are sometimes used interchangeably, it’s crucial to distinguish between them in academic writing for the sake of clarity. This can be difficult, since something can be both â€Å"historical† and â€Å"historic.† For instance, the Declaration of Independence is a â€Å"historical† artifact (i.e., an object from history). But it’s also a â€Å"historic† document (i.e., a document of historical importance). A historic historical moment. One trick is to keep in mind that â€Å"historic† and â€Å"specific† both end in â€Å"-ic,† and that â€Å"historic† is more specific than â€Å"historical.† Remember: Historical = Related to or from the past Historic = Of historical importance

Willa Seldon case study Assignment Example | Topics and Well Written Essays - 3500 words

Willa Seldon case study - Assignment Example During her initial few months as the executive director, Seldon had to deliberately and at a fast pace roll out several initiatives in order to ensure that Tides Center could become a customer-centric organization that was capable of delivering an exceptional form of fiscal sponsorship services along with steady organizational growth. There were many features in the leadership style of Willa Seldon that she exhibited while her tenure at Tides Centre (A). They incorporated the modern and a few traditional methods of leadership. These are explained below: a. Changing the organization’s mission and goals- it sometimes becomes necessary to modify or completely change the mission statement of an organization. This may be required to keep pace with the competitors or align with the customers’ needs. Changes also become necessary when there are similar companies coming up in the same industry which can threat an organization to shut itself down. So in order to avoid such situa tions it is necessary to change the missions and goals for the organization concerned (Chew, Cheng & Lazarevic, 2006, p.63). From the given case study we can see that there were many places where Tides Centre needed immediate changes. Seldon had endured to utilize her strength to re-module the missions that were expected by the founder of the organization Drummond Pike. According to her version, Tides Centre was in need for an extensive modification in its cultures, its management, its operational approaches, perceptions, and its business related orientation. The entity had to change to a corporate identity instead of its non-profit orientation. This had compelled Seldon to impose time restrictions on many of the new projects. Timely changes often help to refocus on organizations and implementing new operational trends which could help to add several competitive advantages. Also mentioned in the case study is the fact that there were many companies which had collaborated with the fi nancial aid industry and so it became imperative for Seldon to bring in changes in the hospital’s organizational goals so as to keep in pace with the growing changes. b. Working closely with the entire staff - Seldon had made it a point that every single member in the organization would have to contribute for the prospective changes to be made. A leader should always incorporate his/her fellow mates in the organization’s growth programs since it would require equal contributions in order to realize its goals. As a leader, Seldon had assembled a general meeting inviting the entire workforce in Tides in order to discuss the various organizational missions and the visionary prospects. The move was carried out to include the entire workforce into her prospected changes. Critically, Seldon compelled every employee or worker to think of himself as a change agent who had to play an important role to save Tides. This was done to create a sense of belonging in the employees. A leader should always aim at bringing the entire workforce of an organization together before it executes its planned changes. This would then curb the probable chances of resistance and any conservativeness that are evident among the staff member. Seldon was also working closely with several of the colleagues irrespective of their job ranks and implementing new strategic linkages between the organizational departments (Grant, 2005, p.469). Promoting interdepartmental relationships is an important feature that needs to be followed going by the changing markets conditions and the corporate demands. This was done by Seldon when she introduced interactions between the HR department and the finance offices to ensure that the employee related matters received immediate attention. This would also ensure the recruitment,

Business Management Essay Example | Topics and Well Written Essays - 3000 words

Business Management - Essay Example Defined as all the man-made or man-modified physical structures that include buildings, space and products, infrastructure of communities, built environment encompasses homes, schools, roads, fixtures, parks, cities, and everything else touched he has touched (Cohen, 2005). Presently, the built environment addresses various divisions, from art and design, architecture and interior architecture, construction management, and urban and regional planning. Art and design, although minuscule and seemingly irrelevant in scale, have intermarried with architecture and urban planning never to part again as aesthetics no longer are limited to association with the age-old Renaissance. Urban planners and engineers work closely with architects, constructors, contractors, and designers and the built industry grows into a nature-friendly aspect of human enterprise. "Competing for the Future" presents considerable forward-thinking strategies for companies as they are challenged maintaining present status which are compared to mere running in place and threatened with global competitors (Mizrach, 1997). The book invokes management and employees to work together to innovate and foresee what may be given to consumers that would amaze and satisfy. Globalisation at that time already poked its threat to established multinational companies, when dot.com bubble was about to break, the book better-advised the senior and junior managements to have second thoughts. "instead of doing a lot of market research, we refine our thinking on a product and its use and try to create a market for it by educating and communicating with the public... our emphasis has always been to create something out of nothing," Hamel and Pralahad (1994, p.109) wrote. It suggested that senior management team must set aside a time of about 50 percent over a period of months in order to "develop a prescient and distinctive point of view about the future" and this may apply well to built industries, as earlier problems did not seem as complicated as they are right now. "Unlearning" was a keyword so that it meant there is a close scrutiny of the past, interlinked with market share opportunities and creation of core competencies transcending business units (Hamel and Pralahad, 1994). The book also encourages coalition, which has become inevitable now as an industry alone could no hardly address a single issue facing built environment. Speed, as the book have claimed, is important "in the battle for the future" but not necessarily in the future anymore. There are considerable pressures today invokes speed as an element to answer problems within the built industry as "Whole industries become vulnerable to new rules when all the incumbents accept, more or less, the same industry conventions," (Hamel and Pralahad, 1994). Industries were challenged not only to address genuine profit crisis but encouraged to create "quasi-crisis in advance" so that pointing out of the difference of achievement is considered by both a s pass, allowing for evolving competencies. One that hits the built industry bulls-eye is the book's claim that "A strategic architecture is the essential link between today and tomorrow, between short term and longer,' as urban planners now scamper to detail out solutions for the urban dilemma. More so, "Every company should

Personal Statement Example | Topics and Well Written Essays - 1000 words - 3

Personal Statement Example ’— This issue always bothered me much and I began to make detailed study of sociology of crimes. Reformation and rehabilitation of prison inmates: I was selected to study the conditions in Central Jail Tihar, New Delhi (India) and the amenities available to the jail inmates. I was one among group of 12 college students from different countries chosen by the authorities of the UNESCO Head Office at Paris for a three months study-cum-research project on the subject of â€Å"Reformation and Rehabilitation of Prisoners† and I represented the State of Texas, America. India has a huge Jail population, and Tihar is the biggest Jail in India, with an average population of 14000 inmates spread over 13 Jails in different parts of New Delhi. Our first meeting was with the Public Relations Officer of Tihar Administration. He seemed to have read the thought processes going on in the minds of some of us. He gave us, among other literature, a 4 page pamphlet than began with the following quote from Pandit Jawaharlal Nehru, the first Prime Minister of India, which read thus: â€Å"Another error which people indulge in is the fear that ‘if jail conditions are improved people will flock in’! This shows a singular ignorance of human nature. No one wants to go to prison however good the prison might be. To be deprived of liberty and family life and friends and home surroundings is terrible thing. It is well known that the Indian peasant will prefer to stick to his ancestral soil and starve rather than go elsewhere to better his condition.† The technological development and the promised benefits of the materialistic civilization, the youngsters from rural areas of India are migrating to the metropolitan cities. This is the problem before many developing countries. Unable to get proper employment, with poor accommodation facilities, they take to the path of crime to get rich quickly. Once they are arrested and land in Jail, they come across m any hardened criminals who advise them about the â€Å"benefits† of the criminal life. The process of degeneration begins, and this is one of the important reasons for increase in the Jail population. Another stunning revelation was presented before us. Amongst the jail population, the number of actual convicts is just 30% and the rest are under trials. The judicial process is very slow in India and the reasons for that are manifold. On a cursory glance of the literature relating to functioning of the jails, we found that it was due to shortage of the investigating and judicial officers, delay in the submission of the charge sheet and the subsequent hearings take years and the accused remains languished within the four walls of the prison. An unfortunate consequence of the prevailing social and economic conditions in India is the steady increase in the Jail population. Overcrowding in Jails is a serious issue and in some Jails, it is to such an extent, that prisoners sleep in shifts. Gangsters, bride-burners, anti-social elements, petty thieves, and all sorts of criminals are accommodated together, under the brand of under trials. Prisoners are a special kind of humanity and they need individual counselling depending upon the nature of crimes committed by them and as per their mental frame. The next issue is about the judicial process. Those guilty need to be awarded punishment quickly and innocents should not be made to languish in prisons. In the first few days of our study, we interviewed a number of top officials from the prison

Result Analysis using Fast Clustering Algorithm

Result Analysis using Fast Clustering Algorithm Result Analysis using Fast Clustering Algorithm and Query Processing using Localized Servers. P.Jessy Abstract—This paper identifying records that produces compatible results using Fast Clustering Selection Algorithm. A selection algorithm may be evaluated from both the efficiency and effectiveness points of view. While the efficiency concerns the time required to find a record, the effectiveness is related to the quality of the record. The selection algorithm fetches the result with the help of register number. The Selection algorithm works in two steps. In the first step, the register number fetches the result from the server. The record for every individual will be obtained by hit method. The sender sends the request to the server. In the second step, the most representative record that is strongly related to target classes is fetched from database. The record fetches from the database by the register number. The string generation algorithm is guaranteed to generate the optimal result k candidates. We analyses the results of students using Selection Algorithm. We need to de fine compatible operation analogs by introducing max-min operation min-max operation. It automatically collects data from the web to enrich the result. The analysis of result for huge students make more time. The accuracy of the result has to be considered. We need to fetch the result individually by their register number. It leads to time inefficiency. In a proposed system, we obtain the result for a group of students. The Selection method fetches the result for a student according to their register number which is entered in between a range. The result for the student automatically fetched from the server. Once the result for the candidate has been fetched from the server, it stored in the client database. Then we sort the result of the student as group. It increases the accuracy and makes the efficient one. It reduces the burden of the people who analyze the result. The result analysis is performed within a short period. We can generate the report based on the GRADE system. Our experimental evaluation shows that our approach generates superior results. Extensive experiments on large real data sets demonstrate the efficiency and effectiveness. Finally we sort the results of students using FAST CLUSTERING SELECTION algorithm. Index Terms FAST, Minmax Maxmin Operation. INTRODUCTION Students play a major role in Educational field.Students are evaluated under different categories: By choosing their institution, studying well, gaining good knowledge, and getting good marks. Result analysis of each student paves the way for their higher education as well as their improvement in future. Percentage marks prior to the grade scheme were converted into grades for ease of comparison. The reliability of the new scheme was again studied using statistical analysis of data obtained from both the old and new schemes. Some assessment schemes use a grading category index (GCI) instead of actual mark for each assessment criterion. GCIs usually have a smaller number of options to choose from when awarding results. For example, the GCI may gave eight levels with the highest being awarded to exceptional students and the lowest being awarded to students of inadequate performance. This reduced level of categories has been shown to result in less variability between assessors compare to systems which use marking ranges between 0 and 100. The Results of the students are analyzed using Fast Clustering Selection Algorithm. In this paper, we are analyzing the results of students using clustering methods with the help of filtering by introducing max-min operation min-max operation.The filter method is usually a good choice when the number of records is very large.The SELECTION algorithm works in two steps. In the first step, the register number fetches the result from the server. The record for every individual will be obtained by hit method. The sender sends the request to the server. In thesecond step,themost representative record that is strongly related to target classes is fetched from database.It consists of three components: query generation, and data selection and presentation.This approach automatically determinesinformation. It then automatically collects data fromthe web .By processing a large set of data; it is able to deal with more complex queries. In order to collect result, we need to generate informative queries. The queries have to be generated for every individual student.It increases the time to fetches the result and inefficiency. In order to overcome this, the queries are generated along with unique identification number i.e. register number. Based on the generated queries, we vertically collect image data with multimedia search engines.We then perform reranking a nd duplicate removal to obtain a set of accurate and representative results. 2. RELATED WORK Selection can be viewed as the process of identifying and removing as many irrelevant and redundant record as possible. This is because: (i) irrelevant records do not contribute to the predictive accuracy, and (ii) redundant features do not redound to getting a better predictor for that they provide mostly information which is already present. Selection focused on searching for relevant records. Irrelevant data, along with redundant data, severely affect the accuracy. Thus, selection should be able to identify and remove as much of the irrelevant and redundantinformation as possible. QUERY GENERATION To collect result from the web,we need to generate appropriate queries before performing search. We accomplish the task with two steps. The first step is query extraction. We needto extract a set of informative keywords from querying. The second step is query selection.This is because we can generate different queries: one fromretrieve, one from display, and one from the combinationof retrieve and display. In query generation, given an input string Qi, we aim to generate the most likely koutput strings sothat can betransformed from Qi and have the largest probabilities. DATA SELECTION AND PRESENTATION We perform search using the generated queries to collect the result of the student. The result of the student is fetched from the server by three processes. Before query generation, the register number for the students is fetched from the database. The register numbers are grouped based upon the department. The register number for each group is partitioned and stored as arrays of objects. In query generation, the register number is added with the query and it performs the request to server.The results are built upon text based indexing. Therefore, reranking is essential to reorder the initial text-based search results. A query-adaptivereranking approach is used for the selection of the result. We first decide whether a query is text related or image related, and then we use different features for reranking. Here we regard the prediction of whether a query is text related as a classification task.We can choose to match each query term with a result list. But it will not be easy tofind a complete list. In addition, it will be difficult to keep the list updated in time. We adopt a method that analyzes results. Thus, we perform a duplicate removal step to avoid information redundancy. The result which is fetched from the server may increases the time if there is large amount of data. To increases the time efficiency we need to process the query in a different manner. The results are grouped with the help of group id. EVALUATION OF QUERY GENERATION The generated query is first passed as a string to the server. The server searches the result with the register number. Once the result is found for the particular register number, the server sends the respond to the query client.Theresult received for a particular student is stored in the database with help of the register number. The results can be printed for a group of students by simply selecting the results from database with the group id. The group id is set for a group of students based upon their department id. The department id is a unique constraint for the identification of the record. In query generation the records are fetched from the server and stored in the client database by the department id and group id. EVALUATION OF RERANKING We use the query adaptive ranking to perform query classification and thenadopt query-adaptive reranking accordingly. It is our proposedapproach and it is denoted as â€Å"proposed†. After reranking, we perform duplicate removal and irrelevant removal of result. 3. ALGORITHM AND ANALYSIS The proposed FAST algorithm logically consists of two steps: (i) removing irrelevant record, (ii) removing redundant record. 1) Irrelevant records have no/weak correlation with target concept; 2) Redundant records are assembled in a cluster and a representative data can be taken out of the cluster. ALGORITHM For every result Calculate the average queue size(avg) ifminth { Calculateprobability pa With probability pa: ifregister no. is valid and if the result is not already fetched { Mark the result Send request to the sender and save the result } else Drop the request to the server } else if maxth Store the result in database Send acknowledgment to the server. Fig.1. gives the flowchart of the algorithm FAST Algorithm The FAST algorithm fetches the result of the student with the help of the register number. T F T F Fig.1. Flowchart of the algorithm FAST Algorithm The algorithm checks whether the given register number is valid or invalid. The register number is a collection of college code and student code. The college code is used to identify the result of the particular college. The FAST algorithm calculates the probability of finding the result of the student from the server. Then it identifies the results from the server using the request and response method. The avg SELECTIVITY OF RANGE QUERIES Selectivity estimation of range queries is a much harder problem. Several methods were available. However, they are only able to estimate the number of records in the range. None can be efficiently adapted to estimate the number of results in the range. One naive solution is to treat information as record by removing the irrelevant information. This clearly increases the space consumption significantly (and affects the efficiency) since the number of points is typically much larger than the number of existing nodes. When generating the query workload for ourdatasets we had to address two main challenges. We had to generate a workload,with an attribute distribution representing the user interests in a realistic way. Second, we had to create queries of theform attribute-value. Query reformulation involves rewriting the original query with its similar queries and enhancing the effectiveness of search. Most existing methods manage to mine transformation rules from pairs of queries in thesearch logs. One represents an original query and the other represents a similar query. 1) Select the length of the query l by sampling from a uniform probability distribution with lengths varying from 1 to 3. 2) Select an attribute A1 using the popularity that they have on the vector 3) Select the next attribute A2 using the co-occurrence ratio with the previous attribute A1. 4) Repeat from Step 2, until we get l different attributes. DATABASE SIZE EFFECT We check the effect of the size of the database on the precision of attribute suggestions and thenumber of query matches. We consider subsets of the database of documents of different sizes. As expected the proposed strategies increase their quality when weincrease the data size. The size of the result is based on the method of us storing it. We storing the data which is retrieved from sever to the client database which increases the time efficiency and minimum storage capacity. The results are stored in the database by the student register number which requires less storage and increases the efficiency of accessing the information. 4. CONCLUSION In this paper, we have presented a clustering-based selection algorithm for result analysis. The algorithm involves (i) removing irrelevantrecords, (ii) removing redundant record. We can do the result analysis but it makes more time to get the result of every student. For that we are using a selection algorithm which removes the redundancy of the result and using it we can fetch the result of large group of people. We have adopted a method to remove duplicates, but in many cases more diverse results may be better. In our future work, we will further improve the scheme, such as developing better query generation method and investigating the relevant segmentsfrom the result. 5. REFERENCES [1] Chanda P., Cho Y., Zhang A. and Ramanathan M., Mining of Attribute Interactions Using Information Theoretic Metrics, In Proceedings of IEEE international Conference on Data Mining Workshops, pp 350-355, 2009. [2] Y. Du, S. Gupta, and G. Varsamopoulos, â€Å"Improving On-Demand Data Access Efficiency in MANETs with Cooperative Caching,† Ad Hoc Networks, vol. 7, pp. 579-598, May 2009. [3] Biesiada J. and Duch W., Features election for high-dimensionaldataÅ‚a Pearson redundancy based filter, AdvancesinSoftComputing, 45, pp 242C249, 2008. [4] Garcia S and Herrera F., An extension on â€Å"Statistical Comparisons of Classifiers over Multiple Data Sets† for all pairwise comparisons, J. Mach. Learn. Res., 9, pp 2677-2694, 2008. [5] C. Chow, H. Leong, and A. Chan, â€Å"GroCoca: Group-Based Peer- to-Peer Cooperative Caching in Mobile Environment,† IEEE J. Selected Areas in Comm., vol. 25, no. 1, pp. 179-191, Jan. 2007. [6] Demsar J., Statistical comparison of classifiers over multiple data sets, J. Mach. Learn. Res., 7, pp 1-30, 2006. [7] L. Yin and G. Cao, â€Å"Supporting Cooperative Caching in Ad Hoc Networks,† IEEE Trans. Mobile Computing, vol. 5, no. 1, pp. 77-89, Jan. 2006. [8] Butterworth R., Piatetsky-Shapiro G. and Simovici D.A., On Feature Selectionthrough Clustering, In Proceedings of the Fifth IEEE internationalConference on Data Mining, pp 581-584, 2005. [9] Fleuret F., Fast binary feature selection with conditional mutual Information, Journal of Machine Learning Research, 5, pp 1531-1555, 2004. [10] Dhillon I.S., Mallela S. and Kumar R., A divisive information theoretic feature clustering algorithm for text classification, J. Mach. Learn. Res., 3, pp 1265-1287, 2003. [11] Forman G., An extensive empirical study of feature selection metrics for text classification, Journal of Machine Learning Research, 3, pp 1289-1305, 2003. [12] Guyon I. and Elisseeff A., An introduction to variable and feature selection, Journal of Machine Learning Research, 3, pp 1157-1182, 2003. [13] M. Korupolu and M. Dahlin, â€Å"Coordinated Placement and Replacement for Large-Scale Distributed Caches,† IEEE Trans. Knowledge and Data Eng., vol. 14, no. 6, pp. 1317-1329, Nov. 2002. [14] Das S., Filters, wrappers and a boosting-based hybrid for feature Selection, In Proceedings of the Eighteenth International Conference on Machine Learning, pp 74-81, 2001. [15] Dougherty, E. R., Small sample issues for microarray-based classification. Comparative and Functional Genomics, 2(1), pp 28-34, 2001. [16] S. Dykes and K. Robbins, â€Å"A Viability Analysis of Cooperative Proxy Caching,† Proc. IEEE INFOCOM, 2001. [17] Bell D.A. and Wang, H., A formalism for relevance and its application in feature subset selection, Machine Learning, 41(2), pp 175-195, 2000. [18] Dash M., Liu H. and Motoda H., Consistency based feature Selection, In Proceedings of the Fourth Pacific Asia Conference on Knowledge Discovery and Data Mining, pp 98-109, 2000. [19] Hall M.A., Correlation-Based Feature Selection for Discrete and Numeric Class Machine Learning, In Proceedings of 17th International Conference on Machine Learning, pp 359-366, 2000. [20] Baker L.D. and McCallum A.K., Distributional clustering of words for text classification, In Proceedings of the 21st Annual international ACM SIGIR Conference on Research and Development in information Retrieval, pp 96- 103, 1998.

Greedy Politics and America’s War On Iraq Essay -- Politics Political

On the morning of March 19, 2003, U.S.-led forces began to invade the Middle-Eastern country of Iraq with the intention of overthrowing its leader, Saddam Hussein. This action was taken primarily as a result of U.S. President George W. Bush’s long-standing contention that the Iraqi regime was a direct threat to the United States. Bush outlined his reasons for the attack in a speech he delivered to the American people in the days before the war: Intelligence gathered by this and other governments leaves no doubt that the Iraq regime continues to possess and conceal some of the most lethal weapons ever devised. This regime has already used weapons of mass destruction against Iraq's neighbors and against Iraq's people. The regime has a history of reckless aggression in the Middle East. It has a deep hatred of America and our friends. And it has aided, trained and harbored terrorists, including operatives of al Qaeda (Bush â€Å"Ultimatum† 1). More than a year and a half ago, on September 11, 2001, a group of terrorists from the al Qaeda network hijacked four airliners and successfully used three of them to attack the Pentagon in Washington, D.C., and the World Trade Center in New York. These attacks marked the first time in American history that a full-scale attack was executed on our own soil, and they affected the American people on a number of different levels. Americans found themselves shocked that such an event could occur, as well as reeling with grief for the more than 3,000 people who died in the tragedy. Soon, the shock and grief that penetrated the hearts of the American people gave way, in part, to a sense of national pride. American flags waved from every overpass, and â€Å"God Bless America† could be heard on every r... ...arcourt, Brace and World, Inc. 1968. pp. 361-380. (Text available at http://www.resort.com/~prime8/Orwell/nationalism.html). Raasch, Chuck. â€Å"Public opinion intensifies on both sides of Iraq war.† The Advocate. 2 April, 2003: http://www.newarkadvocate.com/news/stories/20030402/localnews/42689.html. Stolberg, Cheryl Gay. â€Å"Threats and Responses: Washington Talk; And Order of Fries, Please, But Do Hold the French†. New York Times. 12 March 2003, Late Edition: Sec. A, p. 1, col. 5. Byrd, Robert C. â€Å"We Stand Passively Mute†. 12 February, 2003. http://byrd.senate.gov/byrd_speeches/byrd_speeches_2003february/byrd_speeches_2003march_list/byrd_speeches_2003march_list_1.html. Donnelly, Thomas, et al. Rebuilding America’s Defenses. Project for the New American Century. September 2000. http://newamericancentury.org/RebuildingAmericasDefenses.pdf. (ianw.org)