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
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