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Research on the Technology of Association Rules in Data Mining

Author: ZhaoYan
Tutor: LiuZhiJing
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Data Mining Association rules Frequent itemsets Incremental updates Frequent Pattern Tree
CLC: TP311.13
Type: Master's thesis
Year: 2008
Downloads: 234
Quote: 7
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Association rule mining as an important area of data mining research , which reveals itemsets interesting relationship between , can be widely used in the market basket analysis , correlation analysis, classification, network personalization services . Since 1993 R.Agrawal first raised the issue , has been active in the forefront of research and applications of data mining . Typical association rule discovery algorithm the Apriori algorithm R.Agrawal etc. , its core technology for other types of association rule mining algorithms are widely used . However, with the growing popularity of the distributed environment , traditional centralized association rule mining method can not be found in the association rules in distributed information systems efficiently design efficient distributed association rule mining algorithms association rules an important element . On the basis of research already distributed association rules mining algorithms , for its shortcomings , given an efficient distributed association rule mining algorithm (ED - ARM - Efficient the Distributed Association the rules Mining ) , quickly found distributed transaction database system global frequent itemsets . The algorithm analysis and test results show that the algorithm is efficient and feasible . In addition, when the database or mining parameters change , how frequent itemsets efficiently update is another important element of the association rule mining research . In this paper, the frequent itemsets update study , based Frequent Pattern Tree Frequent Itemsets Incremental Updating Algorithm ( FIUP - Frequent Itemsets Incremental Updating, ) . The algorithm makes full use of the existing mining results , an effective solution to the minimum support transactional database at the same time changes corresponding frequent itemsets updates , transactional database changes include both increases and decreases both cases , and analyze its performance and test results prove that the algorithm is effective and feasible .

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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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