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:
High utility item set mining with length constraint (applications)
Posted by: maria567
Date: August 16, 2020 08:52AM

i have a question about the application of HUI mining with length constraint in real world because when we constraint HUI with maximum length we lose some of HUI itemsets and why we use maximum length constraint although we know we loose some HUI itemsets .

Edited 1 time(s). Last edit at 08/18/2020 09:22AM by webmasterphilfv.

Options: ReplyQuote
Re: High utility item set mining
Date: August 16, 2020 10:34PM


Interesting question. I think it depends on the application. For some applications, it makes sense to use the length constraint.

For example, if we analyze customer transactions for the purpose of marketing, maybe we don't want to find itemsets containing five or more items because it would be difficult to promote all these items together. For example, if we find that {juice, milk, bread, chocolate, noodle} yield a lot of money, it would not be very convenient to make some advertisement to buy five items together. Maybe it is easier to promote only 2 or 3 items together. So in such scenarios, I think it is fine to restrict the length of high utility itemsets.

Besides that, having the length constraint will not only eliminate very long itemsets but it will also make the discovery of itemsets faster. So it is easier to analyze bigger databases, and we can find the result more quickly. That is another advantage.

So I think it depends on the application, whether it is appropriate or not.

Best regards,

Options: ReplyQuote

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