Information Technology Engineering Sem 6 Data Mining and Business Intelligence Question Paper PDF 2026 - Mumbai University | munotes
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Questions asked in this paper
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Q1 (a) Describe different types of attributes with example. 5 marks
- (b) Explain KDD process with diagram. 5
- (c) Define and explain: 1) Support ii) Confidence Information Gain iv) Entropy v) Gini 5
- (d) Apply K-means Algorithm to divide the given set of values into 3 5
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Q2 (a) Explain DBSCAN clustering algorithm with an example 10 marks
- (b) Explain Regression. Explain linear regression with example. 10
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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) What is an outlier? Describe methods that are used for outlier analysis. 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 Paper Subject Code: 88982 Data Mining and Business Intelligence 10
- (b) What are multiple level and multidimensional association rules? Explain with suitable examples for each 10
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Q5 (a) Explain Business Intelligence issues 10 marks
- (b) Explain Market-Basket analysis with example. 10
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Q6 (a) What is data visualization? Explain any 3 visualization techniques with example. 10 marks
- (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?
- ii) What is mode of data? Comment on data's modality
- ii) What 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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Information Technology Engineering Sem 6 Paper Path
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