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2. For a transaction database such as follows, there exists a hierarchy on categories of items: TID Items apple, lamb, rice apple, sugar, rice beef, rice, apple apple, pear, sugar rice 100 Fruit Food 200 300 аpple рear meat rice sugar 400 500 lamb beef apple, pear beef, rice 600 700 (a) Find all frequent itemsets using the basic algorithm given in the lecture (minimum support = 3 transactions). (b) Generate all generalised association rules (minimum confidence = 90%) %3D

2. For a transaction database such as follows, there exists a hierarchy on categories of items: TID Items apple, lamb, rice apple, sugar, rice beef, rice, apple apple, pear, sugar rice 100 Fruit Food 200 300 аpple рear meat rice sugar 400 500 lamb beef apple, pear beef, rice 600 700 (a) Find all frequent itemsets using the basic algorithm given in the lecture (minimum support = 3 transactions). (b) Generate all generalised association rules (minimum confidence = 90%) %3D

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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2. For a transaction database such as follows, there exists a hierarchy on categories of items: TID Items apple, lamb, rice apple, sugar, rice beef, rice, apple apple, pear, sugar rice 100 200 Fruit Food 300 аpple рear meat rice sugar 400 500 lamb beef apple, pear beef, rice 600 700 (a) Find all frequent itemsets using the basic algorithm given in the lecture (minimum support = 3 transactions). (b) Generate all generalised association rules (minimum confidence = 90%)
Transcribed Image Text:2. For a transaction database such as follows, there exists a hierarchy on categories of items: TID Items apple, lamb, rice apple, sugar, rice beef, rice, apple apple, pear, sugar rice 100 200 Fruit Food 300 аpple рear meat rice sugar 400 500 lamb beef apple, pear beef, rice 600 700 (a) Find all frequent itemsets using the basic algorithm given in the lecture (minimum support = 3 transactions). (b) Generate all generalised association rules (minimum confidence = 90%)
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