A New Fuzzy Association Rules Mining in Data Streams

被引：0

作者：

Shen, Liangzhong ^{[1
]}

Liu, Shihua ^{[2
]}

机构：

[1] Wenzhou Univ, City Coll, Informat Management Dept, Wenzhou, Peoples R China

[2] Wenzhou Univ, City Coll, Dept Comp Sci, Wenzhou, Peoples R China

来源：

ADVANCED TECHNOLOGY IN TEACHING - PROCEEDINGS OF THE 2009 3RD INTERNATIONAL CONFERENCE ON TEACHING AND COMPUTATIONAL SCIENCE (WTCS 2009), VOL 2: EDUCATION, PSYCHOLOGY AND COMPUTER SCIENCE | 2012年 / 117卷

关键词：

Fuzzy Association Rules; Data Stream; Change Detection;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a novel fuzzy ARM algorithm called FFI_Stream is presented to tackle quantitative attributes in data streams and some techniques are proposed in the algorithm. Both synthetic and real datasets are used to evaluate the performance of the proposed algorithm. The experimental results show both the effectiveness and efficiency of the proposed algorithm. In comparison with the discrete method, the proposed algorithm using fuzzy sets and MFB_measure gets a trade-off between the number of interesting rules and efficiency.

引用

页码：163 / +

页数：2

共 8 条

[1]

Ada Wai-chee Fu, 1998, Intelligent Data Engineering and Learning. Perspectives on Financial Engineering and Data Mining. 1st International Symposium. IDEAL'98, P263

[2]

[Anonymous], 2003, P 29 INT C VER LARG

[3]

Chan Man Kuok, 1998, SIGMOD Record, V27, P41, DOI 10.1145/273244.273257

[4]

Dang XH, 2009, LECT NOTES COMPUT SC, V5690, P660

[5] Clustering data streams: Theory and practice [J].

Guha, S ;

Meyerson, A ;

Mishra, N ;

Motwani, R ;

O'Callaghan, L .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2003, 15 (03) :515-528

[6]

Kaya M., 2002, Database and Expert Systems Applications. 13th International Conference, DEXA 2002. Proceedings (Lecture Notes in Computer Science Vol.2453), P133

[7]

Srikant R., 1996, Mining sequential patterns: Generalizations and performance improvements, P1, DOI [DOI 10.1145/235968.233311, 10.1007/BFb0014140]

[8] Mining frequent itemsets in data streams using the weighted sliding window model [J].

Tsai, Pauray S. M. .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (09) :11617-11625

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