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Download GTU B.Tech 2020 Winter 7th Sem 2170715 Data Mining And Business Intelligence Question Paper

Download GTU (Gujarat Technological University Ahmedabad) B.Tech/BE (Bachelor of Technology/ Bachelor of Engineering) 2020 Winter 7th Sem 2170715 Data Mining And Business Intelligence Previous Question Paper

This post was last modified on 04 March 2021

GTU B.Tech 2020 Winter Question Papers || Gujarat Technological University


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Subject Code: 2170715

BE- SEMESTER-VII (NEW) EXAMINATION — WINTER 2020

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Subject Name: Data Mining and Business Intelligence

Time: 10:30 AM TO 12:30 PM

Total Marks: 56

Instructions:

  1. Attempt any FOUR questions out of EIGHT questions.
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  3. Make suitable assumptions wherever necessary.
  4. Figures to the right indicate full marks.
Q.No. Question Marks
Q.1 (a) Differentiate OLAP and OLTP. 03
(b) Define Schema. Explain the following schemas with suitable example. 1) Star 2) Snowflakes 3) Constellations 04
(c) Define noise data. Enlist the reasons for the presence of noise in data collection. Explain the methods to deal with noise. 07
Q.2 (a) Define market basket analysis. Explain support and confidence with suitable example for finding the rules. 03
(b) Explain the following terms. 1) Bias 2) Variance 3) Generalization 4) Outlier 04
(c) Define the Apriori Property. Generate candidate itemsets, frequent itemsets and association rules using Apriori algorithm on the following data set with minimum support count is 2 and minimum confidence is 60%.

TID Items

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T1 | BREAD, BUTTER, TOAST
T2 | BUTTER, MILK
T3 | BUTTER, BUSCUIT
T4 | BREAD, BUTTER; MILK
T5 | BREAD, BUSCUIT

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T6 | BUTTER, BUSCUIT
T7 | BREAD;BUSCUIT
T8 | BREAD, BUTTER, BUSCUIT, TOAST
T9 | BREAD, BUTTER, BUSCUIT
07
Q.3 (a) Minimum salary is 20,000/- Rs and Maximum salary is 1,70,000/- Rs. Map the salary 1,00,000/- Rs in new Range of (60,000 , 2,60,000) Rs using min-max normalization method. 03
(b) Define time series database. Explain how to characterize time series data using trend analysis. 04
(c) Define data cube and explain any 3 operations on it. 07
Q.4 (a) If Mean salary is 54,000Rs and standard deviation is 16,000 Rs then find z score value of 73,600 Rs salary. 03
(b) Briefly explain linear and non-linear regression. 04
(c) Define Map and Reduce operations with suitable example. 07
Q.5 (a) Discuss the following terms: 1) Tree Pruning 2) Information Gain 3) Spatiotemporal Databases 03
(b) Discuss the major issues/challenges in data mining. 04
(c) Enlist the steps of K-Mean clustering algorithm. Explain it with suitable example. 07
Q.6 (a) Discuss the following terms: 1) Correlation analysis 2) Gain Ration 3) Sequence Databases 03
(b) Differentiate classification and prediction. 04
(c) Enlist the steps of ID3 decision tree generation algorithm. Explain it with suitable example and generate the tree. 07
Q.7 (a) Explain Web structure and Web usage mining. 03
(b) Draw and explain the topology of a multilayer, feed-forward Neural Network. 04
(c) Define big data and big data analytics. Explain big data distributed file system. 07
Q.8 (a) Draw and explain Hadoop architecture. 03
(b) Discuss Hash-based technique to improve efficiency of Apriori algorithm. 04
(c) Explain Baye’s Theorem and Naive Bayesian Classification with suitable example. 07

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Date: 28/01/2021

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