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

Questions asked in this paper

1. Q1 If dimensionality reduction is performed on a record data matrix, the transformed has reduced number of rows has reduced number of columns has reduced number of both rows and columns has same number of rows and columns
2. Q2 Consider the following data: 4, 8, 9, 15, 21, 21, 24, 25, 26, 28, 29, Partition the given data with Bin size: 4. What is the output obtained after smoothing the data by Bin Boundaries Knowledge discovery in databases is referred to Non Trivial process of choosing dataset Non Trivial process for identifying useful patterns in data Non Trivial process for identifying invalid patterns in data Non Trivial process of creating patterns in data 34 marks
3. Q4 For the given confusion matrix compute recall Cancer Yes | No | Total
4. Q5 given reviews of food quality of few restaurants as Good, Average or Poor. Finding reviews of a new restaurant BIRCH falls under which clustering approach
5. Q7 Given {2,4,3,10,11,12,20,25,30}, Assume k=2 and are m2=11. Apply k -means clustering technique and find its output after 1st iteration In one of the frequent item-set examples, it is observed that if milk and bread are bought then eggs are also purchased by the customers. After generating an association rule among the given set of items, it is inferred {Milk} is antecedent and {eggs} is consequent {Milk} is antecedent and the item set {bread, eggs} is consequent The item set {milk, bread} is consequent and {eggs} is antecedent The item set {milk, bread} is antecedent and {eggs} is consequent For the given transactional database compute. confidence for the rule Milk > Beer
6. Q10 is.an interactive computer-based application that combines data and mathematical models to help decision makers solve complex problems faced in managing the public and private enterprises and organizations Solve any Two Questions out of Three Marks A Define data warehouse. Describe different OLAP operations in detail 10 Apply Naive Bayes classifier algorithm to the dataset given below, and 10 classify the unknown data sample? Given all the previous patients I’ve seen(below are their symptoms and Do I believe that patient with following symptoms has the flu? multi-level and multidimensional association rules with example 10
7. Q3 Solve any Two Questions out of Three Suppose we have six objects with name A, B,C, D, F. Apply 10 single linkage clustering and draw dendrogram for the given data B the data for analysis includes the attribute age. The age values 10 for data tuples are (in increasing order):
   • 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 Business Intelligence (BI)? Explain BI architecture in detail 10
8. Q4 Solve any Two Questions out of Three A Briefly explain Bagging and Boosting of classifiers 10 For the table given, apply Apriori algorithm and show frequent item set 10 and strong association rules. Assume Minimum Support of 30% and Minimum confidence of 70% C is an outlier? Describe methods used for outlier analysis. 10

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