Download JNTU Anantapur (JNTU Anantapur) Master of Computer Applications (MCA) 2019 May Reg-Supply 4th Sem 9F00403 Data Warehousing And Mining Previous Question Paper
MCA IV Semester Supplementary Examinations May 2019
DATA WAREHOUSING & MINING
(For 2009, 2010, 2011, 2012 (LC), 2013, 2014, 2015 & 2016 admitted batches only)
Time: 3 hours Max. Marks: 60
Answer any FIVE questions
All questions carry equal marks
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1 (a) What are the steps involved in the process of knowledge discovery? Explain.
(b) Mention the classification of data mining systems.
2 (a) According to William H what is data warehouse? Explain the key features.
(b) List and explain four different views regarding the design of a data warehouse.
3 (a) Write BUC algorithm for the computation of sparse or iceberg cubes.
(b) Write a note on descriptive data mining.
4 Explain Apriori algorithm for discovering frequent item sets. How we can improve the efficiency
of Apriori by hash based technique.
5 Why Naive Bayesian classification called naive? Briefly outline the major ideas of naive
Bayesian classification.
6 What is clustering? Explain the requirements of clustering in data mining.
7 (a) Describe the different text mining tasks for extracted keywords or semantic information.
(b) Write a short note on spatial mining.
8 List and explain challenging issues in data mining trends.
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This post was last modified on 28 July 2020