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problem 1) describe Data Visualization and Hierarchical clustering as a Data Mining technique in detail.

problem 2) Describe the Independent Data Mart, Dependent Data Mart and Federated Data Mart architectures of Data Warehouse, Compare each type with appropriate diagrams.

problem 3) describe the Data Mining Process with appropriate diagram, describe each component.

problem 4) Distinguish Star and Snow flake schemas of Data warehouse.

problem 5) prepare down the ex of statistical techniques which can be used for prediction'

problem 6) What do you mean by association mining? Give appropriate ex'

problem 7) describe different application areas of Data Mining'

problem 8) prepare down the name of some of the analytical models used in Data Mining.

problem 9) describe the process of E.C.T.L. with appropriate diagram and exs of each stage.

problem 10) Distinguish Multidimensional Databases and Relational Databases. How we can achieve multidimensional storage using relational databases.

problem 11) Describe Decision tree and Rule Induction as methods of Data Mining with suitable exs.

problem 12) Describe the terms: Supervised Learning, Unsupervised Learning Semi Supervised Learning.

problem 13) prepare brief note on:

i) Link analysis.

ii) Data Mining is a process of Knowledge discovery.

problem 14) prepare down the difference between MOLAP and ROLAP.

DBMS, Programming

  • Category:- DBMS
  • Reference No.:- M98613

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