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BU Data Mining and Data Warehousing Sem IV-Elective
No Units Titles Sub Titles Chapters
1 Module - 1 Introduction Data Mining Functionalities- Classification of Data Mining systems-Data Mining task primitives- Integration of a Data mining system with a Database or Data warehouse system- Major Issues in Data Mining VIEW CHAPTERS
2 Module - 2 NA Data Mining Functionalities- Classification of Data Mining systems-Data Mining task primitives- Integration of a Data mining system with a Database or Data warehouse system- Major Issues in Data Mining VIEW CHAPTERS
3 Module - 3 NA Data warehouse and OLAP Technology, an overview- A multi Dimensional Data Model- Data ware house Architecture- Data warehouse Implementation, from Data ware house into Data Mining VIEW CHAPTERS
4 Module - 4 NA Mining Frequent patterns, Association and Co-relation, Basic Concept and a road mapefficient and Scalable frequent item set mining methods- Mining various kinds of Association rules VIEW CHAPTERS
5 Module - 5 NA Classification and Prediction, Issues regarding classification and Prediction, Classification by decision tree induction- Bayesian classification, Rule Based classification VIEW CHAPTERS
 
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