Definition and Examples of Euro-English

Euro-English is an emerging variety of the English language used by speakers in the European Union whose mother tongue is not English. Gnutzmann et al. point out that it is not clear, as yet, whether English in Europe will in the foreseeable future become a language in its own right, one that is owned by its multilingual speakers, or whether the orientation towards native-speaker language norms will continue to persist (Communicating Across Europe in  Attitudes Towards English in Europe, 2015). Observations Two foreign girls--nannies? tourists?--one German, one Belgian (?), talking in English beside me on the next table, unconcerned by my drinking and my proximity. . . . These girls are the new internationalists, roving the world, speaking good but accented English to each other, a kind of flawless Euro-English: I am very bad with separation, the German girl says as she stands up to leave. No true English speaker would express the idea in this way, but it is perfectly comprehensible. (William Boyd, Notebook No. 9. The Guardian, July 17, 2004)   The Forces Shaping Euro-English [T]he evidence is accumulating that a Euro-English is growing. It is being shaped by two forces, one top-down and the other bottom-up.The top-down force comes from the rules and regulations of the European Union. There is an influential English Style Guide issued by the European Commission. This makes recommendations about how English should be written in official documents from the member states. On the whole it follows standard British English usage, but in cases where British English has alternatives, it makes decisions--such as recommending the spelling judgment, not judgement...More important than these top-down linguistic pressures, I suspect, are the bottom-up trends which can be heard around Europe these days. Ordinary Europeans who have to use English to each other every day are voting with their mouths and developing their own preferences. . . . In sociolinguistics, the technical term for this interaction is accommodation. People who get on with each other find that their a ccents move closer together. They accommodate to each other...I dont think Euro-English exists yet, as a variety comparable to American English or Indian English or Singlish. But the seeds are there. It will take time. The new Europe is still an infant, linguistically. (David Crystal, By Hook or by Crook: A Journey in Search of English. Overlook, 2008) Characteristics of Euro-English [I]n  2012 a report found that 38% of the EU’s citizens speak [English] as a foreign language. Nearly all of those working at EU institutions in Brussels do. What would happen to English without the English? A sort of Euro-English, influenced by foreign languages, is already in use. Many Europeans use control to mean monitor because  contrà ´ler  has that meaning in French. The same goes for assist, meaning to attend (assister  in French,  asistir  in Spanish). In other cases, Euro-English is just a naive but incorrect extension of English grammatical rules: many nouns in English that don’t properly pluralise with a final s are merrily used in Euro-English, such as informations and competences. Euro-English also uses words like actor, axis or agent well beyond their narrow range in native English...It could be that whatever native-speakers might consider correct, Euro-English, second language or no, is becoming a dialect fluently spoken by a large group of people who understand each other perfectly well. Such is the case of English in India or South Africa, where a small group of native speakers is dwarfed by a far larger number of second-language speakers. One effect m ay be that this dialect would lose some of the tricky bits of English, such as the future perfect progressive (We will have been working) that aren’t strictly necessary. (Johnson, English Becomes Esperanto. The Economist, April 23, 2016) Euro-English as a Lingua Franca - Tramp . . . could be the first English-language glossy magazine aimed at people who speak Euro-English as a second language. (Social Vacuum. The Sunday Times, April 22, 2007)- In the case of English in Europe, there seems little doubt that it will continue to increase its position as the dominant lingua franca. Whether this will result in varieties of European Englishes, or in a single variety of Euro-English being used as a lingua franca can only be determined by further research. The extent to which it is stifling (Gà ¶rlach, 2002:1) other European languages by steadily encroaching on more and more domains also needs to be researched, as do European attitudes toward English, especially the attitudes of the young. (Andy Kirkpatrick, World Englishes: Implications for International Communication and English Language Teaching. Cambridge University Press, 2007) Further Reading AmericanizationDenglish (Denglisch)Global EnglishGlobishNotes on English as a Global LanguageWorld English

Zaras Supply Chain Managment Essay - 4787 Words

Zara: IT for Fast Fashion | Individual Case Essay | | BUS 510 Management Information Systems Dr. Y. K. Mortagy | | Mengyang Chen | Fall 2012 | | Table of Contents Abstract 3 Case Summary 4 Business Analysis 5 Generic Strategy 5 Five Forces 7 Value Chain Analysis 9 Implementations of Porter Models 10 Solution Evaluation 11 Cost analysis 12 Benefit Analysis 13 Conclusion and Recommendations 16 References 17 Appendix 18 Exhibit 1 18 Exhibit 2 19 Abstract This case essay provides a business analysis on Zara--the most profitable and well-known fast fashion brand under the world’s largest fashion distributor Inditex Group. The analysis will evaluate Zara by using Porter Models,†¦show more content†¦Business Analysis To help Mr. Salgado and Mr. Sanchez to solve this tough problem, we need to firstly understand Zara’s business model. I will use Michael Porter’s Generic Strategies, Five Forces and Value Chain to analyze Zara Company. Generic Strategy Among the three generic business strategies Dr. Porter identified, which are (1) broad cost leadership, (2) broad differentiation, and (3) focused strategy, I think Zara inherited both cost leadership strategy the differentiation strategy. Zara differentiates itself from the rest of the clothing industry not only by offering unique products but also by having full control of its operation processes. As Daniel Piette, LVMH’s fashion director, described as â€Å"Possibly the most innovative and devastating retailer in the world†, Zara truly has its unique business philosophy. (CNN Business, 2001) Zara meets its customers’ expectation by delivering the latest fashion lines at affordable prices the soonest it can. This concept itself is unique enough. Unlike high-end designer brands that offer limited exclusive lines at big prices, or like some other clothing retailers that offer trendy styles at low costs but poor qualities, Zara is able to bring the newest fashion into mass production and deliver them to people with a normal quality for very good prices. While most of the clothing or textile companies rely on outsourcing and cheap laborsShow MoreRelatedZara - Marketing Research1034 Words   |  5 P agesTask 1 zara marketing research Zara is a spanish chain store in Inditex group, one of the worlds biggest retail store in the world who are also owners of zara home. Zara is a fast industry bt its unique business model is based on innovation and flexibilty. they design and distribute a garment to the market in just 15 days. they always have new products but in limited supply. the customer feels there is an exclusitivity , since only a few items are on display even though stores are plannedRead MoreHM Marketing Audit2630 Words   |  11 PagesIndholdsfortegnelse Introduction 2 Problem statement 2 Scope/eliminations 2 Method 3 Collection of data 3 Internal analysis 3 The Value Chain 3 SMS-model 4 External analysis 4 PEST 4 Porter’s Five Forces 5 Competitor analysis 5 SWOT analysis 6 Conclusion 6 Literature 7 Enclosures 10 Enclosure 1 10 Introduction In 2009 Hamp;M and Zara were accused of using child labour (www.ilo.org). Even though Hamp;M is a huge company the scandal damaged the reputation of

North Korea Free Essays

From an early date Korean political culture is characterised by isolationism and a strong desire to maintain the country’s independence (â€Å"Kim Il Sung†, para 2). Relationship with its neighbouring countries are poor and with the countries in the West, are almost equal to zero. Even with such relationships, Korea has been unable to stop the encroachment   of its neighbours. We will write a custom essay sample on North Korea or any similar topic only for you Order Now It was made the Japenese protectorate in 1905 and later the number of   Japenese immigrants in Korea have risen so much that the Koreans have become second-class citizens within their own land. Kim Il Sung Kim Il Sung’s real name was Kim Song Ju. He was born in Pyongyang on 15th April, 1912. At the age of   17 he was jailed for being a part of   a student political group led by the South Manchurian Communist Youth Association. After his release from jail he joined the Anti-Japanese United Army. He emerged as a significant leader in this time period and later changed his name to Kim Il Song, in honor of his uncle who participated in nation-wide protests against the Japenese in 1919. Kim Il Sung as a leader After the Second World War the Korean peninsula was divided into two parts, North and South. North Korea was sponsored by Russia while the South was aided by USA. Kim Il Sung was selected to take charge of the formation of a provisional government for the North. Under his leadership the Korean Workers Party was inaugurated. A number of reforms were introduced to the North, including an eight-hour working day, equality of the sexes, and suppression of religion. Land and wealth formerly belonging to the Japanese or to enemies of the regime was confiscated and redistributed, industry was nationalised, and Soviet-style economic planning was initiated (â€Å"Kim Il Sung†, para 12) His opponents within the party were purged to secure his absolute rule. Kim led the military committee, coordinating action against the South Koreans in 1950. With carefully prepared plans and without any warning to the South Koreans, his army swarmed into the South. The war continued for three years and during these three years about three million people lost their lives. Between 600,000 and one million North Koreans needlessly starved to death due to the economic legacy of Kim’s regime. Kim claimed to have won that war but no peace treaty was ever signed. Kim Il Sung, through land reclamation, gave priority to increased agricultural production. He emphasised on trade, developed the country’s infrastructure, and encouraged people to rely on domestically produced equipment. He discouraged them to even think about foreign aid and taught them that self reliance should be the key goal to everyone’s success. From 1972 onwards, North Korea became poorer because it could not afford to buy advance technology from the West and its industrial production declined. A personality cult had glorified Kim, but by the mid-1990s the rapid economic growth of North Korea’s early years had given way first to stagnation and then to hardship, and there was widespread dissatisfaction with the repressive regime (Scalapino Lee p.175) When he died in 1994, the country lost its venerated founding leader. Just a few years earlier, its powerful alliances had evaporated with the fall of the Soviet bloc and China’s move toward a market-based system. The economy was on the rocks and energy and food were in short supply. A series of weather disasters, combined with an inefficient state-run agricultural system, further eroded the food supply, leading to mass starvation (â€Å"Dear Leader or Demon†, para 12) Kim Jong Il Kim Il Sung’s successor, Kim Jong Il, was born on 16th June, 1942. Growing up in a time when anti Japanese revolutionary struggle was at its peak, Kim Jong Il cultivated uncommon characteristics and qualities through his experiences of his real life and practical activities. During his training period under his father’s tutelage in the 1970s, he was often referred to as the â€Å"Party Center,† and he launched a number of campaigns to take over the daily operations of the Party. When he came to power on the death of his father in 1997, Kim Jong-Il ruthlessly set about establishing his own authority. His government is said to be extremely secretive and brutal to dissidents. Kim’s disastrous agricultural and economic policies have caused his people to suffer under one of the world’s longest, deadliest famines. On the domestic front, Kim has given occasional signs that he favors economic reforms similar to those carried out in China by Deng Xiaoping. But at home he has done little or nothing to relax the absolute control of the state and party over all aspects of economic life. He has certainly given no sign of considering the de- collectivization of agriculture, which was the foundation of Deng’s reforms (Chong-Il p. 84). With the sort of image Kim Jong Il carries around with him many analysts thought that the communist regime would finally come to an end in North Korea, but it is almost a decade since he has been in power and still ruling over North Korea and extending his father’s philosophy of Juche. Kim Il Sung’s style of ruling his country according to Stalinism was submerged into his Juche philosophy and later it subordinated into a more militant theme of Kim Jong Il’s Red Banner Policy. Kim Jong Il has been accused of being involved in two bombings; one in Rangoon in 1983 and another in 1987, which killed all passengers in a South Korean airplane.   No evidence directly links Kim Jong Il to the bombings, however, and some analysts believe his father was still firmly in control of international activities throughout the 1980s, while giving his son more power over domestic affairs. He spends more than 25% of his country’s annual GNP on the military while most of the citizens go hungry. Jong Il has also proved himself to be a movie lover and has directed a couple of movies himself and written six operas, while his scientists make nuclear war heads. Kim Il Sung as a Communist In the words of Morelly, the author of the influential treatise Le Code de la Nature, published in 1755: †The only vice which I know in the universe is avarice; all the others, whatever name one gives them, are merely forms, degrees of it. . . Analyze vanity, conceit, pride, ambition, deceitfulness, hypocrisy, villainy; break down the majority of our sophisticated virtues themselves, [they] all dissolve in this subtle and pernicious element, the desire to possess.† Such economically determined psychology lies at the root of every socialist and communist doctrine (Pipes 2001). Kim Il Sung was one man who was obsessed with gaining power over not only his own people but he went to extremes and even created his own religion so that the people should start worshipping him. When workers of the Korean Workers Party tried to over throw Kim in 1953, the eleven conspirators, who failed in their coup, were not only executed but their properties were confiscated as well. He purged his opponents in all possible ways in order to ensure that he stays in power. Kim Il Sung’s personality was a true speciman of a communist. Russia had an influence over the political system of North Korea right from the onset. Kim Il Sung was highly impressed by the communist rule in Russia and he developed a Marxist-Leninist political ideology that emphasises the need for autonomy and patriotic self-reliance. Called ‘Juche’, or ‘Kim Il Sung Thought’, the ideology demanded total loyalty to the paramount leader and the â€Å"religion of Kim Il Sungism†, and stressed on the benefits of sacrifice, austerity, discipline, dedication, unity, and patriotism. It has been   described as â€Å"encyclopedic thought which provides a complete answer to any question that arises in the struggle for national liberation and class emancipation, in the building of socialism and communism.† The practical effect of Juche was to seal the DPRK off from virtually all foreign trade (â€Å"Kim Il Sung†, para 38). Kim Il Sung’s personality cult was similar to that of   Stalin. In that he was accused of tampering history, tyranny and injustice and self glorification. Kim’s zeal for communsim is evedient from the fact that the North Korean media, which is owned and controlled by the state, promoted Kim’s image as an infallible genius and the driving force behind the resistance to the Japanese and the liberation of the North. Kim had more than 34,000 monuments of himself erected throughout the country. Practice of any other religion except the worship of Kim Il Sung   was outlawed. The official calender started from his birthday and that day was an official holiday too. Kim Il Sung was so obssessed with his ideals that he started to believe in himself in a godly manner. The painters and artists of the country were instucted to paint only his personality in a pompous manner and project it to the rest of the country. All this was believed, by   Kim Il Sung, as not a forceful extension of his one-man show personality to the masses but he had actually started to live in a pseudo-shell of belief   that the citizens of his country actually adored him.   In my point of view the personality of Kim Il Sung was a fragment and extension of Stalin. This is supported by the fact that he not only tried to follow him in the way he ruled North Korea but he also sought his help and looked up to him in various matters of   state. In the Korean War of   1950-1953, while South Korea was supported by USA, North Korea was aided by USSR primarily because it was a communist country. Kim Jong Il has proved himself to be a true replica of his father. He has not only ensured the continuity of his father’s policies and reforms but he has also gone to the extent of further subjugating the agrigarian community by spending more on his military might. He has promoted his father’s personality cult by making it a compulsion for each citizen to visit Kim Il Sung’s moseleum atleast once each year and also by paying tribute to the Senior Kim by wearing lapel badges and all those who dare to offend are sent to concentration camps within the country. Kim Il Sung has become so much part of   a North Korean’s daily life that to reject Kim is more like rejecting his own self. Conclusion With 1% of the citizens in concentration camps and 25% of GNP being utilized to further the ruler’s military prowess, North Korea is definitely not in pursuit of a prosperous future. While the exiguity of the basic facilties of life and the over all plight of the nation is being blamed on the West in general and the US in particular, nobody dares to question the extravagent life of the dictators of North Korea. North Korea is going through its worst era right now; with its predominent support/donor, in the shape of USSR, disintegrated and with the West pressing hard on it on the contentious issue of its nuclear programme. References Clark, Carol. (2001). Kim Jong Il, â€Å"Dear Leader or Demon?† Retrieved 13 May 2006 from http://www.cnn.com/korea/CNN–InDepth Korea at 50 – Leader Profiles Kim Jong II.htm Chong-Il, Kim. (1986). Life and literature. Pyongyang, Korea: Foreign Languages Publishing House. Harris, Bruce. (2004). â€Å"Kim Il Sung†. Retrieved 12 May 2006 from http://www.moreorless.au.com Pipes, Richard. (2001). Communism: A History. Random House Publishing Group. R. A. Scalapino and C. S. Lee. (1992). Communism in Korea. Seoul: Ilchokak. How to cite North Korea, Essay examples

Data Mining In A Nut Shell Essay Example For Students

Data Mining In A Nut Shell Essay In today’s business world, information about the customer is a necessity for a businesses trying to maximize its profits. A new, and important, tool in gaining this knowledge is Data Mining. Data Mining is a set of automated procedures used to find previously unknown patterns and relationships in data. These patterns and relationships, once extracted, can be used to make valid predictions about the behavior of the customer. Data Mining is generally used for four main tasks: (1) to improve the process of making new customers and retaining customers; (2) to reduce fraud; (3) to identify internal wastefulness and deal with that wastefulness in operations, and (4) to chart unexplored areas of the internet (Cavoukian). The fulfillment of these tasks can be enhanced if appropriate data has been collected and if that data is stored in a data warehouse. According to Stanford University, A Data Warehouse is a repository of integrated information, available for queries and analysis. Data and information are extracted from heterogeneous sources as they are generated.This makes it much easier and more efficient to run queries over data that originally came from different sources. When data about an organization’s practices is easier to access, it becomes more economical to mine. â€Å"Without the pool of validated and scrubbed data that a data warehouse provides, the data mining process requires considerabl e additional effort to pre-process the data† (SAS Institute). There are several different types of models and algorithms used to â€Å"mine† the data. These include, but are not limited to, neural networks, decision trees, rule induction, boosting, and genetic algorithms. Neural networks are physical cellular systems which can acquire, store, and utilize experiential knowledge (Zurada). Neural networks offer a way to efficiently model large and complex problems. Decision trees are diagrams used for making decisions in business or computer programming. Branches are used to represent choices with associated risks, costs, results, or probabilities. Rule induction is a way of deriving a set of rules to classify cases (Two Crows). These set of rules differ from those in a decision tree in that they are independent from one another. Boosting is a technique in which multiple random samples of data are taken and a classification model for each set of data is made (Two Crows). The genetic algorithm is a model of machine learning, whose behavior is based on the processes of evolution in nature. Populations of data are resented by chromosomes and then go through a process of evolution. The members of one set of data compete to pass on their most favorable charac teristics to the next generation of data. This process continues until the best data is found. Many of the models and algorithms used in data mining are simplifications of the linear regression model. Data Mining is largely, if not entirely used for business purposes. The highest users of data mining include banking, financial, and telecommunications industries (Two Crows). A survey taken by Two Crows Corporation turned up these applications of data mining:Ad revenue forecasting Churn (turnover) management Claims processing Credit risk analysis Cross-marketing Customer profiling Customer retention Electronic commerce Exception reports Food-service menu analysis Fraud detection Government policy setting Hiring profiles Market basket analysis Medical management Member enrollment New product development Pharmaceutical research Process control Quality control Shelf management/store management Student recruiting and retention Targeted marketing Warranty analysis Data mining will have a different effect on different industries in the business world. In the telecommunications industry, for example, in order to retain or build market share and expand or develop new products and services, service providers will have to make the necessary adaptations and changes that the industry and pace setting technology requires. â€Å"The most successful telecommunications companies will, of course, be the ones who can develop and market products and services that customers will buy,† says Julian Kulkarni, SAS institute Europe’s Product Marketing Coordinator for telecommunications. â€Å"But high customer churn rates in telcom markets show that you cannot depend on customer loyalty. To thrive, companies must know their customers, their products, their own operations, and the competition better.†The key to succeeding in this rapidly changing industry is to understand the customer, or the market that the customer represents. Through data mining, telecommunications companies can know what their customers have done in the past and what they will do in the future. With this information, the companies will be in ideal positions to make business decisions based on the information they have gained from the data mining process. .u51677c34aaf93a9b8943843eb11d992e , .u51677c34aaf93a9b8943843eb11d992e .postImageUrl , .u51677c34aaf93a9b8943843eb11d992e .centered-text-area { min-height: 80px; position: relative; } .u51677c34aaf93a9b8943843eb11d992e , .u51677c34aaf93a9b8943843eb11d992e:hover , .u51677c34aaf93a9b8943843eb11d992e:visited , .u51677c34aaf93a9b8943843eb11d992e:active { border:0!important; } .u51677c34aaf93a9b8943843eb11d992e .clearfix:after { content: ""; display: table; clear: both; } .u51677c34aaf93a9b8943843eb11d992e { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .u51677c34aaf93a9b8943843eb11d992e:active , .u51677c34aaf93a9b8943843eb11d992e:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .u51677c34aaf93a9b8943843eb11d992e .centered-text-area { width: 100%; position: relative ; } .u51677c34aaf93a9b8943843eb11d992e .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .u51677c34aaf93a9b8943843eb11d992e .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .u51677c34aaf93a9b8943843eb11d992e .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .u51677c34aaf93a9b8943843eb11d992e:hover .ctaButton { background-color: #34495E!important; } .u51677c34aaf93a9b8943843eb11d992e .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .u51677c34aaf93a9b8943843eb11d992e .u51677c34aaf93a9b8943843eb11d992e-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .u51677c34aaf93a9b8943843eb11d992e:after { content: ""; display: block; clear: both; } READ: Macbeth - supernatural and spirits EssayOther real world examples of data mining include:Targeting a set of consumers who are most likely to respond to a direct mail campaignPredicting the probability of default for consumer loan applicationsPredicting audience share for television programsPredicting the probability that a cancer patient will respond to radiation therapyPredicting the probability that an offshore oil well is actually going to produce oilThere are many computer applications on the market to assist businesses in the data mining process. The applicability of these programs can accommodate the various uses of data mining. Software titles include AC2, ALICE dIs oft, AutoClass C, C5.0 (See5), Clementine, Data Surveyor, DataDetective, DataEngine, Datasage, DataScope, DataX(tm), DbBridge, dbProbe, dbProphet, Explora, IBM Visualization Data Explorer, INLEN, IRIS, IXL ; IDIS software, LEVEL5 Quest, MineSet (SGI), ModelQuest MarketMiner, Nuggets(TM), Partek, PolyAnalyst, PV-WAVE, SE-Learn, Sipina-W v2.0 ; Sipina-Pro, Snob, SPSS Data Mining Software, The Data Mining Suite, Thinkbases Data Mining Product, TiMBL (Tilburg Memory Based Learner), Tooldiag, WINROSA, WinViz, WizWhy, XmdvTool, and XpertRule. Summary Table (Pryke):Company Product Major Function URLIsoft ALICEd’Isoft Alice is a powerful and easy to use Data Mining Tool. Use decision trees to explore exploit your data. Textual reports, SQL queries generation, What-If Analysis, etc. http://www.isoft.fr/SPSS Clementine Clementine is the leading data mining toolkit, twice winning the UK Governments (Department of Trade ; Industry) SMART award for innovation. Clementine applications include customer segmentation/profiling for marketing companies, fraud detection, credit scoring, load forecasting for utility companies, and profit prediction for retailers. http://www.isl.co.uk/clem.htmlData Distilleries Data Surveyor Data Surveyor is a data mining tool for expert users. It consists of a suite of powerful algorithms and provides support for all steps in the knowledge discovery process. Data Surveyor allows the user to interactively discover knowledge, inspect results during discovery and guide the discovery process. Data S urveyor applications include database marketing, credit scoring and risk analysis. http://www.ddi.nl/MIT DataEngine DataEngine is a software product for data analysis using fuzzy technologies, neural networks, and conventional statistics. It has been successfully applied in the fields of forecasting, data base marketing, quality control, process analysis, and diagnosis.The special features of the new version are on the one hand the high flexibility concerning the integration into existing solutions, which is supported by a flexible ASCII import and the import of MS-Excel files. On the other hand it is possible to include any kind of user defined functions into DataEngine.In addition to this, DataEngine 2.0 becomes the tool for professional data analysis thanks to the 32 bit architecture and the productive graphic component for data visualization. http://www.mitgmbh.de/DataSage, Inc. Datasage Datasage provides a suite of C++ modules which maintain data inside an existing relational d atabase where it can be managed more effectively, (the company calls this data centricism). Datasage then uses high-speed C++ routines to read and batch process the data. As a result, the product can handle very large databases. Datasage includes a suite of data transforms, modeling and analysis tools, including neural networks and factor analysis. http://www.datasage.com/Trajecta, Inc. dbProphet Utilizing sophisticated neural network technologies, Trajecta offers a broad range of software and services that provide highly accurate predictions of complex customer behavior and market trends. Trajectas non-technical, easy-to-use software can also help optimize business activities, allowing its users to exceed their business goals. http://www.trajecta.com/Summary Table (Pryke):Company Product Major Function URLSGI MineSet (SGI) Combining powerful integrated, interactive tools for data access and transformation, data mining, and visual data mining, MineSet provides you with a revolutiona ry paradigm for getting maximum value from your vast data resources. MineSet enables you to gain a deeper, intuitive understanding of your data, by helping you to discover hidden patterns, important trends and new knowledge. It is this deep understanding which can be used for developing powerful business strategies leading to greater competitive advantage. http://www.sgi.com/software/mineset/Data Mining Technologies Inc. Nuggetsâ„ ¢ Nuggets uses proprietary search algorithms called SiftAgents(TM) to develop English if then rules. These algorithms use genetic methods and learning techniques to intelligently search for valid hypotheses that become rules. In the act of searching, the algorithms learn about the training data as they proceed. The result is a very fast and efficient search strategy that does not preclude any potential rule from being found. The new and proprietary aspects include the way in which hypotheses are created and the searching methods. The user sets the crit eria for valid rules. Nuggets also provides a suite of tools to use the rules for prediction of new data, under-standing, classifying and segmenting data. The user can also query the rules or the data to perform special studies. http://www.data-mine.com/Partek Inc. Partek Software for data mining and knowledge discovery based on statistical methods, data visualization, neural networks, fuzzy logic and genetic algorithms. http://www.partek.com/MIT WINROSA WINROSA is a software tool which generates automatically Fuzzy If-Then Rules from your data. The generated data set can be run by most of the existing fuzzy tools like e.g. DataEngine, fuzzyTECH, and Matlab. http://www.mitgmbh.de/Attar Software XpertRule Data Mining using high performance parallel SQL technologyA Windows PC client being able to intelligently query the data source on the host server can achieve knowledge Induction. The speed of the process is therefore dependant upon the server not the speed of the client PC. This a llows data mining to exploit the speed offered by MPP servers (Massive Parallel Processors) and database architectures that are optimized for serving queries. http://www.attar.com/BibliographyWorks CitedCavoukian, Ann, Ph.D. â€Å"Data Mining: Staking a Claim on Your Privacy.† Jan. 1998Pryke, Andy. â€Å"The Data Mine.† 23 Sep. 1998SAS Institute Inc. â€Å"Data Mining.† 12 Jan. 2000Two Crows Co. â€Å"Introduction to Data Mining and Knowledge Discovery.† 1999Zurada, J.M. (1992), Introduction To Artificial Neural Systems, Boston: PWS Publishing Company, p. xv:Computers Essays