DATA WAREHOUSE AND DATA MINING
PART-A
[20x2=40]
ANSWER ALL QUESTION:
1. What is Data mining?
2. differentiate descriptive and predictive tasks?
3. What are out tiers?
4. On what criteria are data mining sys categorized?
5. What u mean by smoothing by bin means & smoothing by bin medians?
6. Mention the strategies of data mining?
7. How is association rules mined from large databases?
8. State anti mono-stone property?
9. decision tree?
10. pre and post pruning?
11. Specify the 5 criteria for the evaluation of classification & prediction?
12. State two clustering method thst are used in "grid and density based method?
13. datawarehouse?
14. data mart?
15. Metdata?
16. What kinds of OLAP server exist?
17. application area of data mining?
18. Spatial data mining?
19. What are the typical knowledge of DBMINER?
20. Reveal the theories that portray the basis of the data mining?
PART - B
[ 5x12=60]
21. Architecture of DATAMINING?
22. Classification of data mining system?
23. Short notes on DATA CLEANING?
24. Aprori algorithm with an example?
25. Categories major Clustering Method?
26. three tier architecture of DATAWAREHOUSE?
27. Bayesian classification?
28. Explain about text database?
KEYWORDS:2009 ANNA UNIVERSITY CHENNAI M.C.A COMPUTER APLICATIONS DATA WAREHOUSE AND DATA MINING QUESTION PAPER,ANNA UNIVERSITY QUESTION PAPER,ANNA UNIVERSITY,ANNA UNIVERSITY CHENNAI,ANNA UNIVERSITY COIMBATORE,ANNA UNIVERSITY TRICHY,ANNA UNIVERSITY TIRUNELVELI,ANNA UNIVERSITY MADURAI,ANNA UNIVERSITY SYLLABUS,ANNA-UNIVERSITY RESULTS,ANNA UNIVERSITY DISTANCE EDUCATION,ANNA UNIVERSITY MBA-CENTRE FOR DISTANCE EDUCATION,ANNA UNIVERSITY SCHEDULE OF EXAMINATIONS,ANNA UNIVERSITY ADMISSION,ANNA UNIVERSITY COURSES,ANNA UNIVERSITY ACADEMIC,ANNA UNIVERSITY DEPARTMENTS,ANNA UNIVERSITY RESEARCH,ANNA UNIVERSITY MAIL,ANNA UNIVERSITY QUESTION PAPERS,ANNA UNIVERSITY COUNSELLING DATES,ANNA UNIVERSITY RE-EVALUATION RESULTS
PART-A
[20x2=40]
ANSWER ALL QUESTION:
1. What is Data mining?
2. differentiate descriptive and predictive tasks?
3. What are out tiers?
4. On what criteria are data mining sys categorized?
5. What u mean by smoothing by bin means & smoothing by bin medians?
6. Mention the strategies of data mining?
7. How is association rules mined from large databases?
8. State anti mono-stone property?
9. decision tree?
10. pre and post pruning?
11. Specify the 5 criteria for the evaluation of classification & prediction?
12. State two clustering method thst are used in "grid and density based method?
13. datawarehouse?
14. data mart?
15. Metdata?
16. What kinds of OLAP server exist?
17. application area of data mining?
18. Spatial data mining?
19. What are the typical knowledge of DBMINER?
20. Reveal the theories that portray the basis of the data mining?
PART - B
[ 5x12=60]
21. Architecture of DATAMINING?
22. Classification of data mining system?
23. Short notes on DATA CLEANING?
24. Aprori algorithm with an example?
25. Categories major Clustering Method?
26. three tier architecture of DATAWAREHOUSE?
27. Bayesian classification?
28. Explain about text database?
KEYWORDS:2009 ANNA UNIVERSITY CHENNAI M.C.A COMPUTER APLICATIONS DATA WAREHOUSE AND DATA MINING QUESTION PAPER,ANNA UNIVERSITY QUESTION PAPER,ANNA UNIVERSITY,ANNA UNIVERSITY CHENNAI,ANNA UNIVERSITY COIMBATORE,ANNA UNIVERSITY TRICHY,ANNA UNIVERSITY TIRUNELVELI,ANNA UNIVERSITY MADURAI,ANNA UNIVERSITY SYLLABUS,ANNA-UNIVERSITY RESULTS,ANNA UNIVERSITY DISTANCE EDUCATION,ANNA UNIVERSITY MBA-CENTRE FOR DISTANCE EDUCATION,ANNA UNIVERSITY SCHEDULE OF EXAMINATIONS,ANNA UNIVERSITY ADMISSION,ANNA UNIVERSITY COURSES,ANNA UNIVERSITY ACADEMIC,ANNA UNIVERSITY DEPARTMENTS,ANNA UNIVERSITY RESEARCH,ANNA UNIVERSITY MAIL,ANNA UNIVERSITY QUESTION PAPERS,ANNA UNIVERSITY COUNSELLING DATES,ANNA UNIVERSITY RE-EVALUATION RESULTS