Engineering BE Information Technology Sem 5 May 2023 2023 NFT5Data Mining And Business Intelligence Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q1 Question No 1 is compulsory
2. Q2 Attempt any three questions from remaining
3. Q3 Assume suitable data if necessary and state the same
   • B) What is noisy data? How to handle noisy data?
   • C) Compare and contrast between OLTP and OLAP
   • D) Explain concept of information gain and gini value used in decision tree
   • A) What is Data mining? Explain KDD process with diagram. 10
   • B) Consider we have age of 29 participants in a survey given to us in sorted order. Explain how to calculate mean, median, standard deviation, and Quartile for given data and also compute the same. Show the Box and Whisker plot for 10
   • A) Explain market Basket Analysis with example. 10
   • B) Consider Training dataset as given below. Use Naive Bayes Algorithm to determine whether it is advisable to play tennis on a day with hot temperature, rainy outlook, high humidity and no wind? 10
   • A) What is an outlier? Explain various methods for performing outlier analysis. 10
   • B) Use the Apriori algorithm to identify the frequent item-sets in the following database. Then extract the strong association rules from these sets.Assume Min 10
   • A) Cluster the following eight points (with (x, y) representing locations) into three Assume Initial cluster centers are at: 10), A4(5, 8) and A7(1, 2) The distance function between two points a = (x1, yl) and b = (x2, y2) is defined Use K-Means Algorithm to find the three cluster centres after the second 10
   • B) Compare star schema, Snow flakes schema and star constellation 10
4. Q6 Write short note on following (Any 4) 20 marks
   • A) Dimensional Modeling
   • D) Cross Validation
   • E) DBSCAN Algorithm

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