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Final Term Paper Topic Data Mining Prepared by Linda Stodtko Abstract of the Paper The paper will first define and describe what is data mining It will also seek to determine why data mining is useful and show that data mining is concerned with the analysis of data and the use of techniques for finding patterns and regularities in sets of data The background of data mining will be investigated in order to validate the claims of data mining In this the areas of inductive learning statistics and other areas will be investigated to compare the fields data mining drew from The data mining models will be investigated describing the verification model discovery model and others The data warehouse will be described and the effect of a well-defined data warehouse on the quality of the data extracted will be shown The processes in data warehousing will be investigated and also the data-warehousing model will be investigated including the differences between an online transaction processing system OLTP and the data warehouse will be investigated The Problems with the data warehouses will be looked at in the context of data mining and the criteria of a data warehouse will be listed The data mining problems and issues will be investigated on the basis that data mining systems rely on databases to supply the raw data for input The data mining functions will be investigated The Data mining methods will be classified by the function they perform or according to the class of application they can be used in The data mining techniques will be investigated These will be the cluster analysis induction and the neural networks to name a few The applications for data mining will be investigated and finally to describe the Online application processing Table Of Contents What is Data Mining4 Data Mining Function Functions6 Classification6 Associations7 SequentialTemporal Patterns7 ClusteringSegmentation8 Data Mining Techniques10 Clustering Techniques10 Induction11 Decision Trees11 Rule Induction12 Neural Networks13
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