IT6711 DATA MINING LABORATORY|syllabus

IT6711 DATA MINING LABORATORY L T P C0 0 3 2

OBJECTIVES:
 The student should be made to:

•  Be familiar with the algorithms of data mining,
•  Be acquainted with the tools and techniques used for Knowledge Discovery in Databases.
•  Be exposed to web mining and text mining

LIST OF EXPERIMENTS:
 1. Creation of a Data Warehouse.
 2. Apriori Algorithm.
 3. FP-Growth Algorithm.
 4. K-means clustering.
 5. One Hierarchical clustering algorithm.
 6. Bayesian Classification.
 7. Decision Tree.
 8. Support Vector Machines.
 9. Applications of classification for web mining.
 10. Case Study on Text Mining or any commercial application.

                                                                                                            TOTAL : 45 PERIODS

LAB EQUIPMENT FOR A BATCH OF 30 STUDENTS: 
SOFTWARE:WEKA, RapidMiner, DB Miner or Equivalent

 HARDWARE Standalone desktops 30 Nos