Data mining importance question



1.     What is Data Mining? Goal of Data Mining and application of Data Mining.

2.     What kinds of data on Data Mining?

3.     Classification of Data Mining.

4.     Give some alternative terms for Data Mining.

5.     Define each of the following Data Mining Functionalities: Characterization, discrimination, association and correlation analysis, classification, prediction, clustering and evolution  analysis.

6.     List major issues in Data Mining system.

7.     Describe the difference between the following approaches for integration of data mining system with a database or data warehouse system: No coupling, loose Coupling, Semitight coupling, Tight Coupling.

8.     What are the Steps involved in KDD Process?

9.      Describe Challenges to Data Mining regarding data Mining Methodology and User Interaction issues.

10.  Describe Challenges to data Mining Regarding Performance Issues.

11.  How Data warehouse different from database? How are they Similar?

12.  What is Query driven approaches and Update driven approaches which one is used by data warehouse?

13.  What makes a Pattern Interesting?

14.  Explain architecture of Data Mining.

15.  How is the Derived Model Presented?

16.  What is Cluster Analysis?

17.   What is Descriptive and Predictive Mining?

18.  Difference between OLAP and OLTP

19.  Evolution of Database system Technology.

20.  Discuss the role of data mining in data warehousing.

21.  What is Spatial, Sequence Mining?

22.  What is Text and Web Mining?

23.  What is the difference between discrimination and classification?

24.  What is the difference between classification and prediction?

25.  What is mean by Pattern?
26.