The Data Mining Forum                             open-source data mining software data mining conferences Data Science for Social and Behavioral Analytics DSSBA 2022 data science journal
IMPORTANT: This is the old Data Mining forum.
I keep it online so that you can read the old messages.

Please post your new messages in the new forum: https://forum2.philippe-fournier-viger.com/index.php
 
Identify rules knowing their second part
Posted by: BERTHE Aboubacar
Date: June 19, 2018 06:40AM

Good afternoon Professor ,

My question is about a possible way to adapt the RuleGrowth/TRuleGrowth algorithm
to identify rules knowing their second part

For exemple from my sequential database I would like to identify only rules like X => { i } where i is the second part of my rules
and X can be any item set.

Is it an algorithm from the SPMF library that allow to do this? An extension of the RuleGrowth Algorithm or the TRuleGrowth algorithm to allow that?


Best Regards,

Options: ReplyQuote
Re: Identify rules knowing their second part
Date: June 19, 2018 07:21AM

Hello,

Yes, I call this a class sequential rules. There is this algorithm in SPMF:

the TopSeqClassRules algorithm for mining the top-k class sequential rules

that does that.

It will let you select {i} to find the k most frequent sequential rules of the form X --> {i}.

This algorithm is similar to RuleGrowth but modified to do that.

Best

Philippe



Edited 1 time(s). Last edit at 06/19/2018 07:22AM by webmasterphilfv.

Options: ReplyQuote


This forum is powered by Phorum and provided by P. Fournier-Viger (© 2012).
Terms of use.