Engineering B.E. (Computer Engineering) Sem 5 Data Warehousing and Mining May 2023 Question Paper - Mumbai University | munotes

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Questions asked in this paper

Q2 Attempt any three out of remaining five
Q3 Assumptions made should be clearly indicated
Q4 Figures to the right indicates full marks Question | Solve any four. 5 marks each A What are the basic building blocks of Data warehouse? B Explain Page Rank technique in detail D Differentiate between Agglomerative and Divisive clustering method E Discuss data visualization Technique F Explain issues in Data mining Question 2 10 marks each A Explain Decision Tree based Classification Approach with example Discuss Metrics for evaluating Classifier Performance B Describe the steps involved in Data Mining when viewed as a process of Question 3 10 marks each A Differentiate between Star schema and Snowflake schema. Design Star schema for company sales with three dimensions such as Location, Item B Explain Data Pre-processing Question 4 10 marks each A Differentiate between top-down and bottom-up approaches for building data warehouse. Discuss the merits and limitations of each approach. Also explain the practical approach for designing a data warehouse B What is Web mining? Explain Web structure Mining and Web Usage Mining in detail Question 5 10 marks each A Explain multilevel and multidimensional association rule mining in B A database has five transactions. Let minimum support count = 2 and minimum confidence =60 %. Find all frequent item sets using Apriori Question 6 10 marks each A Explain K-Means clustering algorithm. Discuss its advantages and limitations. Apply K-Means algorithm for the following data set with B Consider the data given below. Create adjacency matrix. Apply complete link algorithm to cluster the given data set and draw the

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