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
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974605
