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1 a) Explain the major issues in data mining.
b) Discuss the three tier data ware house architecture
[8+7]
2 a) Discuss about data mining task primitives.
b) Explain about the functional component of data mining GUI.
[8+7]
3 a) what are the different forms of data preprocessing.
b) Explain about the various forms of presenting and visualizing
the discovered patterns.
[7+8]
4 a) Explain about multidimensional data model.
b) Discuss about snowflake and star flake schemas.
[8+7]
5 a) Explain attribute-oriented induction with basic algorithm
b) Differentiate predictive and descriptive data mining
[8+7]
6
Write the syntax for the following data mining primitives.
a) The kind of knowledge to be mined
b) Measures of pattern interestingness.
1a) Briefly discuss about data integration
b) Briefly discuss about data transformation
[15]
[8+7]
2 a) Explain data mining as a step in the process of knowledge discovery
b) Differentiate operational database system and data warehousing. [8+7]
3 Discuss about primitives for specifying a data mining task
[15]
4 a) Explain about multidimensional data model.
b) Discuss about snowflake and star flake schemas.
[8+7]
5 a) Explain attribute-orineted induction with basic algorithm
b) Differentiate predictive and descriptive data mining
[8+7]
6 a)Explain about data preprocessing.
b)Differentiate OLAP and OLTP
[15]
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