DocumentCode :
2620830
Title :
Analysis of using granules to find association rules
Author :
Louie, Eric ; Tsau Young Em ; Hu, Xiaohua
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
Volume :
2
fYear :
2005
fDate :
25-27 July 2005
Firstpage :
556
Abstract :
The analysis and the discovery of information require the generalization or classification of the data to hypothesize on possible conclusions. Within this process, we formulate methodologies, e.g. computer algorithms, that digest the data and possibly produce results, i.e. patterns. In this paper, the author explained the concept of granular computing, where data are represented as granules and how granules are used in data mining. Among the data mining technique, granule computing is used to find association rules.
Keywords :
data mining; association rule; data mining; granular computing; information discovery; Association rules; Costs; Data analysis; Data mining; Educational institutions; Frequency; Humans; Information analysis; Information science; Relational databases; association rules; bitmap; costs; frequency; granule computing; performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
Type :
conf
DOI :
10.1109/GRC.2005.1547353
Filename :
1547353
Link To Document :
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