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Data Warehousing and Data Mining JNTU previous years question papers
Max. Marks: 80
Answer any FIVE questions
All Questions Carry Equal Marks
1.a) Explain the storage models of OLAP?
b) How does the data warehousing and data mining work together. [8+8]
2. Suppose that the data for analysis includes the attribute age. the age values for the data tuples are increasing order
13 16 16 23 23 25 25 25 25 30 30 30 30 35 35 35 40 40 45 45 45 70
a) How might you determine the outliers in the data?
b) What other methods are there for data smoothing? 
3. List and describe the primitives for the data mining task? 
4. Why perform attribute relevance analysis? Explain the various methods of it's? 
5.a) How is association rules mined from large databases?
b) Describe the different classifications of associate rule mining? [8+8]
6. How will you solve a classification problem using decision trees? 
7.a) What are the fields in which clustering techniques are used?
b) What are the major requirements of clustering analysis? [8+8]
8. Write short notes on:
i) Discriminating different classes
ii) Statistical measures in large databases. [8+8]