Download JNTUH MCA 4th Sem R17 2019 April-May 844AD Aprilmay Data Warehousing And Datamining Question Paper

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Code No: 844AD

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

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Note: This question paper contains two parts A and B.
Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B consists of 5 Units. Answer any one full question from each unit. Each question carries 10 marks and may have a, b, c as sub questions.

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PART - A 5 x 5 Marks =25

1. a) What is a pattern? What are the characteristics of an interesting pattern? [5]
2. b) Compare and contrast database management system with data warehouse. [5]
3. c) What characteristics of neural networks make them good classifiers? [5]
4. d) Give the advantages and disadvantages of partition based methods for clustering. [5]

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5. e) Provide examples for spatial and non-spatial data in database. [5]

PART -B 5 x 10 Marks = 50

2. What is the need of preprocessing of data for mining? Briefly explain various forms of preprocessing. [10]
   OR
   3. Discuss the major issues pertaining to mining methodology and user interaction in data mining. [10]

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3. Illustrate online analytical processing operations. [10]
   OR
   5. Demonstrate the working of BUC algorithm for data cube computation. [10]
4. What are the limitations of Apriori algorithm? Suggest mechanisms to improve the accuracy of Apriori algorithm. [10]
   OR
   

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   7. Consider the following data and classify the new sample X= < youth, medium, yes, fair> using Naive Bayesian classification. [10]
   RID | Age | Income | Student | Credit_rating | Class: buys computer
   1 | Youth | High | No | Fair | No
   2 | Youth | High | No | excellent | No
   3 | Middle aged | High | No | Fair | Yes
   

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   4 | Senior | Medium | No | Fair | Yes
   5 | Senior | Low | Yes | Fair | Yes
   6 | Senior | Low | Yes | excellent | No
   7 | Middle aged | Low | Yes | excellent | Yes
   8 | Youth | Medium | No | Fair | No
   

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   9 | Youth | Low | Yes | Fair | Yes
   10 | Senior | Medium | Yes | Fair | Yes
   11 | Youth | Medium | Yes | excellent | Yes
   12 | Middle aged | Medium | No | excellent | Yes
   13 | Middle aged | High | Yes | Fair | Yes
   

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   14 | Senior | Medium | No | excellent | No
5. 8.a) What is €- neighbourhood in density based methods?
   b) List the challenges raised by high dimensional data for clustering. [5+5]
   OR
   9. Write BIRCH algorithm. Does BIRCH follow agglomerative nesting? Justify your answer. [10]

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6. What is the importance of sequence mining? Explain Prefix Span algorithm for sequence mining. [10]
   OR
   11. Demonstrate Latent semantic indexing for text mining with simple example text corpus. [10]

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