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Total No. of Pages : 01
Total No. of Questions : 08
M.Tech.(IT) E2 (2015 & Onwards)/(CSE Engg.) EI-I (2015 to 2017)
(Sem.-2)
DATA WAREHOUSING AND DATA MINING
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Subject Code : MTCS-207
M.Code: 72891
Time: 3 Hrs.
Max. Marks : 100
INSTRUCTIONS TO CANDIDATES :
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- Attempt any FIVE questions out of EIGHT questions.
- Each question carries TWENTY marks.
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- Explain the multidimensional data models that are suitable for data warehousing.
- Discuss how Online Analytical Processing (OLAP) is used to organize large business databases.
- Write the steps of exploring Data Analyzing using R Tool.
- Discuss the applications of Data Mining. How Apriori algorithm in used in data mining for transactional database?
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- Explain how naive algorithm is used for string matching.
- Write the issues regarding predictive accuracy of data mining methods.
- Write a short note on following
- Data Cube computation
- Split algorithm
- Dynamic item set counting
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- Explain different types of data that can be used in cluster analysis.
- What is clustering? Explain the partitioning method of clustering.
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- Explain with block diagram Architecture of Search Engine.
- Write a short note on Enterprise Search Engine Software.
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- Discuss how data mining is used to extract the useful information from Web.
- List some open source web mining software's. Explain any one.
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NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
1 | M-72891
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