Mining Association Rules with Linguistic Terms

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15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03)

Sacramento, California, USA

November 03-November 05

ISBN: 0-7695-2038-3

	ASCII Text	x
	Jianjiang Lu, Baowen Xu, Dazhou Kang, Huowang Chen, Hongji Yang, "Mining Association Rules with Linguistic Terms," Tools with Artificial Intelligence, IEEE International Conference on, pp. 129, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03), 2003.

	BibTex	x
	@article{ 10.1109/TAI.2003.1250180, author = {Jianjiang Lu and Baowen Xu and Dazhou Kang and Huowang Chen and Hongji Yang}, title = {Mining Association Rules with Linguistic Terms}, journal ={Tools with Artificial Intelligence, IEEE International Conference on}, volume = {0}, year = {2003}, issn = {1082-3409}, pages = {129}, doi = {http://doi.ieeecomputersociety.org/10.1109/TAI.2003.1250180}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Tools with Artificial Intelligence, IEEE International Conference on TI - Mining Association Rules with Linguistic Terms SN - 1082-3409 SP EP A1 - Jianjiang Lu, A1 - Baowen Xu, A1 - Dazhou Kang, A1 - Huowang Chen, A1 - Hongji Yang, PY - 2003 KW - data mining; association rules; linguistic terms; parallel; incremental updating algorithm VL - 0 JA - Tools with Artificial Intelligence, IEEE International Conference on ER -

Jianjiang Lu, Southeast University, PLA University of Science and Technology and Jiangsu Institute of Software Quality

Baowen Xu, Southeast University and Jiangsu Institute of Software Quality

Dazhou Kang, Southeast University and Jiangsu Institute of Software Quality

Huowang Chen, National University of Defense Technology

Hongji Yang, De Montfort University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TAI.2003.1250180

Some problems of mining association rules with linguistic terms are discussed. First, an incremental updating algorithm of association rules with linguistic terms is presented. The collection of frequent linguistic attribute sets and its negative border along with their support count are maintained, which makes scan the entire database once at most in the process of updating association rules. The experiment shows that the updating algorithm can not only update association rules effectively but also avoid the repeated cost. Secondly, the parallel algorithm for mining association rules with linguistic terms is presented. The Boolean parallel mining algorithm is improved to discover frequent linguistic attribute sets, and the association rules with at least confidence are generated on all processors. This parallel mining algorithm has fine scaleup, sizeup and speedup.

Index Terms:

data mining; association rules; linguistic terms; parallel; incremental updating algorithm

Citation:

Jianjiang Lu, Baowen Xu, Dazhou Kang, Huowang Chen, Hongji Yang, "Mining Association Rules with Linguistic Terms," ictai, pp.129, 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'03), 2003

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