DocumentCode
2619033
Title
A method based on clustering to mine rules
Author
Dun, Yijie ; Jiang, Chunyan
Author_Institution
Math. & Comput. Sci. Inst., Northwest Univ. for Nat., Lanzhou, China
fYear
2011
fDate
27-29 June 2011
Firstpage
3810
Lastpage
3813
Abstract
This paper makes use of knowledge granular to present a new method to mine rules based on granule. First, use the measure to measure the importance of attribute, and get the granularity of the universe, and then repeat this procedure to every granule of the granularity, until the decision attribute has only one value for all granules, then we will describe every granule to get the rule. The analysis of the algorithm and the experiment show that the method presented is effective and reliable.
Keywords
data mining; granular computing; pattern clustering; clustering method; decision attribute; knowledge granular; mine rules; Clustering algorithms; Computer science; Data mining; Decision trees; Machine learning; Presses; Classification Rule; Granularity; Knowledge Discover; clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974605
Filename
5974605
Link To Document