NDLI: Mining Double-Connective Association Rules from Multiple Tables of Relational Databases

Content Provider	IEEE Xplore Digital Library
Author	Xunwei Zhou Hong Bao
Copyright Year	2008
Description	Author affiliation: Coll. of Inf., Beijing Union Univ., Beijing, China (Hong Bao) \|\| .Inst. of Inf. Technol., Beijing Union Univ. Beijing, Beijing, China (Xunwei Zhou)
Abstract	Single-dimensional association rule and multidimensional association rule in conventional association rule mining are single-connective association rules, because they have only one connective: ¿. In this paper, based on mutually-inversistic logic, an algorithm for double-connective association rule mining is proposed, mining the association rule in the form of $student(Sno)¿^{-1}$ $course(Cno)/¿^{-1}$ study(Sno, Cno), read "for all students Sno, there exists course Cno such that Sno study Cno", where $¿^{-1}$ and $/¿^{-1}$ are connectives, Sno is the primary key of the table transformed from the entity Student, Cno is the primary key of the table transformed from the entity Course, (Sno, Cno) is the primary key of the table transformed from the binary relationship Study. A three-table relational database naturally embraces double-connective association rules.
Starting Page	271
Ending Page	279
File Size	283984
Page Count	9
File Format	PDF
ISBN	9780769533360
DOI	10.1109/CSSE.2008.559
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multidimensional systems data mining Relational databases multiple tables Electronic mail relational database Data mining Association rules Information technology double-connective association rule Computer science Education mutually-inversistic logic Logic Software engineering
Content Type	Text
Resource Type	Article

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