IT6711 DATA MINING LABORATORY Syllabus Semester VII IT BTECH Anna University-Regulation-2013

NotesKhan

IT6711                                             DATA MINING LABORATORY                                         L  T P C
0   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. 10. Case Study on Text Mining or any commercial application.

OUTCOMES:
After completing this course, the student will be able to:

• Apply data mining techniques and methods to large data sets.
• Use data mining  tools.
• Compare and contrast the various classifiers.

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

HARDWARE
Standalone desktops                         30 Nos















TOTAL : 45 PERIODS