CS0424 DATA MINING
Instructor
Place Email id Syllabus Study Materials |
Srinivasan and Senthil Raja
UB 810 SRM University, Chennai [email protected] Download UNIT 1 INTRODUCTION Data Mining Tasks, Data mining Issues, Decision Support System,Dimentional Modelling, Data warehousing, Data warehousing, OLAP & its tools, OLTP Unit_1.PPT UNIT 2 MINING TECHNIQUES & CLASSIFICATION Introduction, statistical Perspective of data mining, Decision tree, Neural networks, Genetic algorithms, Issues in classification,Statistitical based algorithm(regression),Distance based algorithm(simple approach),Decision Tree based algorithm(C4.5),Neural network based(propogation) UNIT 3 CLUSTERING AND ASSOCIATION RULES Introduction to clustering, Similarity and distance measures, Hierarchical algorithm(divisive clustering),partitional algorithm(Mininum Spanning tree,nearest neighbour), Clustering large database(CURE),Introductionto association,basic algorithm(Apriori),parallel & distributed(data parallelism),Incremental rules,Association rule techniques (Generalised, multiple level) Unit_2 & Unit_3.PPT UNIT 4 ADVANCED MINING Web mining, Web content mining, Introduction to Spatial mining & its primitives, spatial classification algorithm (ID3 extension),Spatial clustering algorithm(SD),Introduction to temporal mining, Time series, Temporal association rule UNIT 5 DATA MINING ENVIRONMENT Case study in building business environment, Application of data mining in Government, National data warehouse and case studies Unit_4 & Unit_5.PPT TEXT BOOK Margaret H. Dunham, S. Sridhar “Data Mining Introductory & Advance Topics” (Unit – 1, 2, 3, 4) 2006. REFERENCE BOOK J.Han, M. Kamber,”Data mining concepts & techniques”,Academic press,Morgan Kanf Man Publishers,2003. ONLINE REFERENCE http://www.data-miners.com/ |