NDLI: A Decomposition Approach for Mining Frequent Itemsets

Content Provider	IEEE Xplore Digital Library
Author	Jen-Peng Huang Guo-Cheng Lan Huang-Cheng Kuo Tzung-Pei Hong
Copyright Year	2007
Description	Author affiliation: Southern Taiwan Univ. of Technol., Tainan (Jen-Peng Huang; Guo-Cheng Lan)
Abstract	In this paper, instead of proposing the fastest mining algorithm in the world, we present a new approach in mining association rules. We propose a new algorithm - GRA (Gradational Reduction Approach). It adopts three mechanisms to increase the performance of mining. First, GRA algorithm uses a hash based technique, Hash MAP, which is similar to Hash Table to increase the access efficiency. Second, GRA algorithm uses an infrequent itemsets filtering mechanism to avoid generating a great deal of infrequent sub-itemsets of transaction records. Third, in order to reduce the size of database, GRA algorithm uses gradational reduction mechanism which uses the frequent itemsets as the information of filtration mechanisms to erase the infrequent items from database at every phase. GRA algorithm can decrease a large number of non-frequent itemsets and increase the utility rate of memory.
Starting Page	605
Ending Page	608
File Size	85817
Page Count	4
File Format	PDF
ISBN	9780769529941
DOI	10.1109/IIH-MSP.2007.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-26
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Itemsets Filtration Filtering algorithms Transaction databases Information management Electronic mail Data mining Association rules Information analysis
Content Type	Text
Resource Type	Article

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