What is Text mining?

4 years ago
Data Mining and Data Warehousing

Extraction of meaningful information from large amounts free format textual data.

Useful in Artificial intelligence and pattern matching.

Also known as text mining, knowledge discovery from text, or content analysis.

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Rajiv Shah
Rajiv Shah
Sep 25, 2021
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5. What is Big Data and Characteristics of Big Data V3s?

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7. Explain usage of Data warehousing for information processing, analytical processing, and data Mining

8. What do you mean by data mart? What are the different types of data mart?

9. Explain meta data repository

10. Explain Data Warehouse Design Process in Detail

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13. How does the ANSI-SPARC architecture promote logical and physical data independence in databases?

14. What are the Major Issues and Challenges of Data Mining?

15. What is HOLAP?

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17. What is Data Mart?

18. What are dependent and independent data marts?

19. What is Virtual Warehouse?

20. What is VLDB?

21. What are Research prototypes?

22. What is the difference between generic single-task tools and generic multi-task tools?

23. What are the areas in which data warehouses are used in present and in future?

24. What is DMQL?

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26. What is spatial data mining?

27. What are the DB Miner tool in data mining?

28. How data mining is used in health care analysis?

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30. Explain the types of data mining.

31. What does audio data mining mean?

32. What is OLAP?

33. What is OLTP?

34. Define Chameleon method?

35. What is CURE?

36. Differentiate Agglomerative and Divisive Hierarchical Clustering?

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38. What is CLARA and CLARANS?

39. What do u mean by partitioning method?

40. Define nominal, ordinal and ratio scaled variables?

41. Define Binary variables? And what are the two types of binary variables?

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44. What are the requirements of cluster analysis?

45. What are the fields in which clustering techniques are used?

46. What is Clustering and Cluster Analysis?

47. What are the techniques to improve the efficiency of Apriori algorithm?

48. How to generate association rules from frequent item sets?

49. What is the purpose of Apriori Algorithm?

50. Describe the different classifications of Association rule mining.

51. Define support and confidence in Association rule mining.

52. How is a data warehouse different from a database?

53. Describe challenges to data mining regarding data mining methodology and user interaction issues.

54. Classifications of Data mining systems

55. What is Cluster Analysis?

56. What are the advanced database systems?

57. What is Descriptive model?

58. What is Predictive model?

59. What is the purpose of Data mining Technique?

60. What is Genetic algorithm?

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