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Elementary,Middle School,High School,College,University,PHD
Teaching Since: | Apr 2017 |
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Questions Answered: | 4870 |
Tutorials Posted: | 4863 |
MBA IT, Mater in Science and Technology
Devry
Jul-1996 - Jul-2000
Professor
Devry University
Mar-2010 - Oct-2016
Q1. Compute & draw a Data Cube with Employee attributes as Id-No, Name & Profession (1 Mark) Q2. Apply Apriori algorithm on the grocery store example with support threshold s=33.34% and confidence threshold c=60%, where H, B, K, C and P are different items purchased by customers. (2 Mark) a) Show all final frequent itemsets. b) Specify the association rules that are generated. c) Show final association rules sorted by confidence. d) Represent the transactions as graph. Transaction ID Items T1 H, B, K T2 H, B T3 H, C, P T4 P, C T5 P, K T6 H, C, P Q3. Construct the inverted index. For each attribute value in each dimension, list the tuple identifiers (TIDs) of all the tuples that have that value. ​​​​​​(1 Mark) The following denotes the world’s best cars: KCT - Koenigsegg CCXR Trevita LV - Lamborghini Veneno LH - W Motors Lykan Hypersport BV - Limited Edition Bugatti Veyron by Mansory Vivere FPS - Ferrari Pininfarina Sergio PH - Pagani Huayra BC TID Items 1 PH, FPS, BV,KCT 2 LV, LH, FPS, PH 3 FPS,KCT 4 LV,LH, BV,PH 5 PH, FPS, BV, LH,LV,KCT 6 FPS 7 LV, LH, BV 8 KCT , PH, BV, LH,LV, FPS 9 PH, KCT 10 KCT
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