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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569211
