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Research on Incremental Updating Algorithm for Mining Association Rules

Author: TuMing
Tutor: ZhangGongRang
School: Hefei University of Technology
Course: Management Science and Engineering
Keywords: Data Mining Association rules Incremental updates Vertical data format
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 69
Quote: 1
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Abstract


Data Mining to acquire knowledge from the back of the huge amounts of data as a technology has been widely used . Association rule mining is an important branch of data mining , but also one of the first to study the problem . Apriori algorithm is a classical algorithm of association rules , many algorithms are improved as a basis , and most of the algorithms for static database . In practical applications , the data in the database is often necessary to change previous algorithm mining rules database updated rerun algorithm so that the efficiency is very low , so the incremental updating algorithm of association rules a . Association rules , incremental update algorithm has two typical representatives : FUP algorithm and IUA algorithm , this paper only the FUP algorithm discussed in the analysis lack of research FUP algorithm , a new incremental update the algorithm TMFUP algorithm in the data format used in the present algorithm is a vertical-type data format, and FUP algorithm can significantly reduce the number of scanning of the original database , the higher the efficiency of the implementation of the algorithm .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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