Information Technology Engineering Sem 6 Data Mining and Business Intelligence Question Paper PDF 2026 - Mumbai University | munotes

Questions asked in this paper

1. Q1 a) Apply K-means Algorithm to divide the given set of values {2,3,6,8,9,12,15,18,22} into 3 5 marks
   • (b) Explain Confusion Matrix. Calculate Accuracy, Precision and Recall for the following Cancer Yes | No | Total 5
   • (c) What are the major issues in data mining? 5
   • (d) What is noisy data? How to handle it? 5
2. Q2 (a) Consider the transaction database given in table below. Apply Apriori Algorithm with minimum support of 50% and confidence of 50%. Find all frequent itemsets and all the 10 marks
   • (b) Explain Regression. Explain linear regression with example. 10
3. Q3 (a) Suppose we have five objects with name A, B,C, D and E. Apply single linkage clustering and draw dendrogram for the given data
   • (b) is an outlier? Describe methods that are used for outlier analysis. Paper Subject Code: 88982 Data Mining and Business Intelligence Using the given training dataset classify the following tuple using Naive Bayes Algorithm: <Homeowner: No, Marital Status: Married, Job experience:3> Job experience (in years) | Defaulted 10
   • (b) Explain Business Intelligence issues. 10
4. Q5 (a) What is data mining? Explain KDD process with diagram. 10 marks
   • (b) Explain Market-Basket analysis with example. What are multiple level and multidimensional association rules? Explain with suitable [10] examples for each 10
   • (b) Suppose that data for analysis includes the attribute age. The age values for data tuples are (in increasing order): 10
   • i) What is mean of data? What is median of data? 1i) What is mode of data? Comment on data's modality is mid-range of data?
   • iv)Give the five- point summary of the data
   • v) Show box plot of the data

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