Code: 06MC403
MCA IV Semester Supplementary Examinations September/October 2014
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DATA WAREHOUSING AND MINING
(For students admitted in 2008 only)
Time: 3 hours Max Marks: 60
Answer any FIVE questions
All questions carry equal marks
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- Describe the classification of data mining systems.
- Discuss about data warehouse implementation.
- Why preprocess the data? What is data cleaning? Explain in detail.
- What are the data mining primitives?
- Describe DMQL syntax for task relevant data.
- What are the descriptive statistical measures in large databases?
- Explain about data generalization and summarization based characterization.
- Discuss about mining multilevel association rules from transactional databases.
- Discuss about mining multidimensional association rules from relational databases to data warehouses.
- What are the issues regarding classification and prediction?
- Explain about decision tree induction with an example.
- Explain about major Clustering methods.
- Explain the following:
- Spatial databases.
- Multimedia databases.
- Mining the world wide web.
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