Data Mining

DATA MININGTable of ContentsIntroduction ------------------------------------------------------------------------ --------------------------- 2Definition of Terms ------------------------------------------------------------------------ ------------------ 3Usage of this Concept----------------------------------------------------------------- ----------------------- 3Pros of ------------------------------------------------------------------ ------------------------ 4Cons of ------------------------------------------------------------------ ----------------------- 5Why this concept would or would not gestate low for BAE Systems---------------------------------------- 5Examples of companies that already permit used the technique and their results--------------------- 6Recommendations--------------------------------------------------------- ----------------------------------- 7Summary /Conclusion------------------------------------------------------ ---------------------------------- 7References-------------------------------------------------------------- --------------------------------------- 8IntroductionAlong the widespread and increase utilization of technologies , is the interest in info archaeological site which has quickly increased as well up . Companies ar now using the techniques of info dig to disassemble their database in search for relationships , rationalise and outcomes to further improve the alter them to better serve their customers . data mining presents mevery benefits to regimen , society , and businesses as well as to individual persons . On the other hand , data mining , like any forms of technology has negative make , such as the onslaught of privacy right . This depart look at the advantages and disadvantages of the use of data mining furthermore , issues will also b e discussed with regard to the use of data m! iningIn general , data mining occasionally called knowledge or data discoin truth is the order of analyzing data from various viewpoints and summarizing it into working(a) cultivation which is data that can be utilize to aggrandize revenue , cuts costs , or do both . It enables users to analyze data from many diverse angles or dimensions , then bump it , and sum up the identified relationships . theoretically , data mining is the process of discovering patterns or correlations amongst many of palm in very jumbo relational databases . Companies have utilized powerful com instalers to riddle through and examine volumes of super commercialize scanner data and analyze market research reports for old age . On the other hand continual innovations in the bear on power of com come outers , disk storage , and statistical software are radically escalating the precision of abbreviation period lashing atomic pile the costDefinition of TermsIn years , statistics has been utilize d in the analysis of data in the pursuit to come across patterns , correlations and dependencies . But with the fast approach of technology , data are very a enormous deal available , which to such great extent has surpassed the capacity of populace to be manually analyzed . Prior to nineties , the data collected by credit card companies bankers and section stores have very little used . However in new-fangled years , as the increase in the power of work up became evident , along comes the rise of data mining . breeding mining is a widely used term to lag the process of discovering patterns and trends in humongous data sets in to feel useful decision-making instruction (Rodriguez , 1999 ) Through data mining , the obtained nurture from the credit card companies , department stores and bankers can be put to good use . Data mining is also accepted as the extraction of hidden predictive information from large database , which makes it a powerful means of technol ogy with vast dominance to aid the companies concen! trate on the most vital information stored in their data warehouse . The tools...If you want to get a full essay, order it on our website: OrderEssay.net

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