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Engineering B.E. (Computer Engineering) Sem 5 Data Warehousing and Mining May 2024 Question Paper - Mumbai University | munotes

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Data Warehousing And Mining Question Paper, May 2024.pdf
CMPN · 214 KB · 1 May 2025

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Older exam Dec 2023 Semester-end · Data Warehousing and Mining → Newer exam Dec 2024 Semester-end · Data Warehousing and Mining →

Questions asked in this paper

  1. Q2 Attempt any Three questions out of the remaining
  2. Q3 Assume suitable data wherever necessary and state them clearly
  3. Q1 Solve any four of the following 20 marks
    • B. Explain the KDD process of data mining
    • C. Explain any two methods of evaluating the accuracy of a Classifier
    • D. Explain K-means clustering algorithm and draw flowchart
    • E. Explain multilevel association rule mining with example
    • F. Write a short note on web usage mining
  4. Q2 A. Consider the following transaction database with minimum support 50% and minimum confidence 66%. Find the frequent patterns and strong association rules. (10)
    • B. Explain different steps involved in data preprocessing. 10
  5. Q3 A. Find the clusters for the following dataset using a single link technique. Use Euclidean distance and draw the dendrogram. (10)
  6. Q3 B. The college wants to record the Marks for the courses completed by students using the dimensions: I) Course, IID) Time & a measure Aggregate marks Create a cube and describe following OLAP operations :
  7. Q4 A. What is dimensional modeling? Design the data warehouse dimensional model for a wholesale furniture Company. The data warehouse has to analyze the company’s situation at least with respect to the Furniture, Customer and Time. Moreover, the company needs to analyze: The furniture with respect to its type, category and material. The customer with respect to their spatial location, by considering at least cities, regions and states. The company is interested in learning the quantity, income and discount of its sales. (10)
    • B. A data sample is given below. Find whether Patient X has flu or not using Naive Bayes If X= (chills=Y, runny nose=N, headache=Mild, fever=Y, flu=?) (10)
  8. Q5 A.Explain Page Rank algorithm with example. 10 marks
    • B. Explain different data visualization techniques. 10
  9. Q6 Write short notes on following: 20 marks
    • A. Applications of Data Mining
    • B. FP Tree
    • D. Techniques of data Loading

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