Data Mining Laboratory Syllabus for B.Tech 7th sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Data Mining Laboratory B.Tech (R13) seventhsem is as follows
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:
- Creation of a Data Warehouse.
- Apriori Algorithm.
- FP-Growth Algorithm.
- K-means clustering.
- One Hierarchical clustering algorithm.
- Bayesian Classification.
- Decision Tree.
- Support Vector Machines.
- Applications of classification for web mining.
- Case Study on Text Mining or any commercial application.
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TOTAL : 45 PERIODS
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
For all other B.Tech IT 7th sem syllabus go to Anna University B.Tech Information Technology (IT) 7th Sem Course Structure for (R13) Batch. All details and yearly new syllabus will be updated here time to time.
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