NDLI: Mining periodic-frequent patterns with maximum items' support constraints

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Mining periodic-frequent patterns with maximum items' support constraints

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Mining periodic-frequent patterns with maximum items' support constraints

Content Provider	ACM Digital Library
Author	Kiran, R. Uday Reddy, P. Krishna
Abstract	The single minimum support (minsup) based frequent pattern mining approaches like Apriori and FP-growth suffer from "rare item problem" while extracting frequent patterns. That is, at high minsup, frequent patterns consisting of rare items will be missed, and at low minsup, number of frequent patterns explode. In the literature, efforts have been made to extract rare frequent patterns under "multiple minimum support framework". In this framework, "rare frequent patterns" can be extracted by specifying minsup of the pattern using two models: minimum constraint model and maximum constraint model. In the literature, an approach has been proposed to extract only those frequent patterns which occur periodically. The basic model of periodic-frequent patterns is based on single minsup constraint. It was observed that the periodic-frequent pattern mining approach also suffers from the "rare item problem". An effort has been made to extract rare periodic-frequent patterns using minimum constraint model. In this paper, we have proposed a pattern-growth approach to extract rare periodic-frequent patterns by specifying minsup under maximum constraint model. Experiment results show that the proposed approach is efficient.
Starting Page	1
Ending Page	8
Page Count	8
File Format	PDF
ISBN	9781450300018
DOI	10.1145/1754288.1754289
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-01-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multiple minimum supports maximum constraint model Periodic-frequent patterns minimum constraint model
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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