DocumentCode
2026279
Title
Application of cluster in quantitative association rules mining
Author
Lou, Lanfang ; Hou, Jianhai ; Pan, Qingxian ; Wang, Lihong
Author_Institution
Sch. of Comput. Sci. & Technol., Yantai Univ., Yantai, China
Volume
3
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
1474
Lastpage
1478
Abstract
On mining quantitative association rules and the segmentation of numerical attributes variables of ordered data, Fisher cluster method can be used to determine the segmentation range and the segmentation number of this variable value. The method takes the data interval and data density into account. Therefore it is of great significance to data pre-processing.
Keywords
data mining; pattern clustering; Fisher cluster method; data density; data interval; data preprocessing; numerical attributes variables segmentation; ordered data; quantitative association rules mining; segmentation number; segmentation range; Association rules; Catalogs; Dispersion; Education; Itemsets; Support vector machine classification; cluster; numerical attribute; quantitative association rules;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569211
Filename
5569211
Link To Document