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Machine Learning with R Cookbook - Second Edition
book

Machine Learning with R Cookbook - Second Edition

by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
October 2017
Beginner to intermediate
572 pages
26h 1m
English
Packt Publishing
Content preview from Machine Learning with R Cookbook - Second Edition

Mining frequent sequential patterns with cSPADE

In contrast to association mining, which only discovers relationships between itemsets, we may be interested in exploring patterns shared among transactions where a set of itemsets occur sequentially.

One of the most famous frequent sequential pattern mining algorithms is the Sequential PAttern Discovery using Equivalence Classes (SPADE) algorithm, which employs the characteristics of a vertical database to perform an intersection on an ID list with an efficient lattice search and allows us to place constraints on mined sequences. In this recipe, we will demonstrate how to use cSPADE to mine frequent sequential patterns.

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Publisher Resources

ISBN: 9781787284395