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Article:Mining Maximal Frequent Item Sets

by Dr. S.S. Mantha, Madhuri Rao, Ashwini Anil Mane, Anil S. Mane
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 10 - Number 3
Year of Publication: 2010
Authors: Dr. S.S. Mantha, Madhuri Rao, Ashwini Anil Mane, Anil S. Mane
10.5120/1463-1978

Dr. S.S. Mantha, Madhuri Rao, Ashwini Anil Mane, Anil S. Mane . Article:Mining Maximal Frequent Item Sets. International Journal of Computer Applications. 10, 3 ( November 2010), 12-15. DOI=10.5120/1463-1978

@article{ 10.5120/1463-1978,
author = { Dr. S.S. Mantha, Madhuri Rao, Ashwini Anil Mane, Anil S. Mane },
title = { Article:Mining Maximal Frequent Item Sets },
journal = { International Journal of Computer Applications },
issue_date = { November 2010 },
volume = { 10 },
number = { 3 },
month = { November },
year = { 2010 },
issn = { 0975-8887 },
pages = { 12-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume10/number3/1463-1978/ },
doi = { 10.5120/1463-1978 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:58:46.440926+05:30
%A Dr. S.S. Mantha
%A Madhuri Rao
%A Ashwini Anil Mane
%A Anil S. Mane
%T Article:Mining Maximal Frequent Item Sets
%J International Journal of Computer Applications
%@ 0975-8887
%V 10
%N 3
%P 12-15
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Data mining or knowledge discovery in databases (KDD) is a collection of exploration techniques based on advanced analytical methods and tools for handling a large amount of information. Mining association rule is a main content of data mining research at present, and emphasizes particularly is finding the relation of different items in the database. How to generate frequent item sets is the key and core. It is an important aspect in improving mining algorithm that how to decrease item set candidates in order to generate frequent item set effectively.

References
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  2. G. Grahne, and J.F. Zhu, “Fast Algorithms for Frequent Item set Mining Using FP-Trees,” IEEE Transactions on Knowledge and Data Engineering, pp. 1347-1362, Oct 2005.
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  9. G. Grahne and J.F. Zhu, “High Performance Mining of Maximal Frequent Item sets”, Proc. SIAM Int’l Conf. High Performance Data Mining, pp. 135−143, 2003.
  10. http://en.wikipedia.org/wiki/Apriori_algorithm.
  11. http://en.wikipedia.org/wiki/Association_rule_mining.
  12. http://fimi.cs.helsinki.fi/
Index Terms

Computer Science
Information Sciences

Keywords

Frequent item sets closed frequent item sets Maximal frequent item sets Association rules

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