Engineering BE Computer Engineering Sem 5 December 2022 2022 Data Warehousing And Mining Question Paper - Mumbai University | munotes
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Questions asked in this paper
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Q2 Attempt any three out of remaining five
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Q3 Assumptions made should be clearly indicated
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Q4 Figures to the right indicates full marks
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Q1 Solve any four. A Every data structure in the data warehouse contains the time element. Why? B In real-world data, tuples with missing values for some attributes are a common occurrence. Describe various methods for handling this problem C What are the various methods for estimating a classifier’s accuracy? D Explain market basket analysis with an example E Describe K medoids algorithm F Explain CLARANS extension in web mining 20 marks
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Q2 Consider the quarterly sales of four companies C1, C2, C3.C4. The
- a) Time
- c) Company Create a cube and describe all five OLAP operation. (10) B_ Apply the Naive Bayes classifier to classify the tuple <Red, SUV, Domestic> For the
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Q3 Discuss the different types of attributes. Suppose that the data mining task is to cluster the following points into 3 C2(4,9).The distance function is Euclidean distance .Suppose we initially assign A1,B1,C1 as the center of each cluster respectively, Use the k means algorithm to show only a) the three cluster centers after the first round of execution b) The final three clusters. (10) A_ For a supermarket chain, consider the dimensions namely Product, Store, time The schema contains the three facts namely units_sales, dollar_sales, and cost_ dollars Design a star schema and calculate the maximum number of base fact table records for the values given below: Product: 40000 products in each store (about 4000 sell daily in each store Promotion: a sold item may be in only one promotion in a store on a given Let minimum support =3, Find all frequent itemsets using FP-growth 10 marks
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Q5 What is web structure mining? Describe page ranking technique with the help of example. (10) Use agglomerative algorithm using the following data and plot a dendrogram using single link approach. The following figure contains sample data items indicating the distance between the elements. (10)
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Q6 Apply apriori algorithm on the following dataset to find strong association rules. Minimum support threshold (s = 33.33%) and minimum confident Is Web mining different from classical data mining? Justify your answer Describe types of web mining. (10)
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