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» Selective association rule generation
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ICONIP
2009
14 years 11 months ago
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Decision Tree Induction (DTI), one of the Data Mining classification methods, is used in this research for predictive problem solving in analyzing patient medical track records. In...
Rolly Intan, Oviliani Yenty Yuliana
ESWA
2007
127views more  ESWA 2007»
15 years 1 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
EMS
2008
IEEE
15 years 8 months ago
A Weighted Utility Framework for Mining Association Rules
Association rule mining (ARM) identifies frequent itemsets from databases and generates association rules by assuming that all items have the same significance and frequency of oc...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
KDD
1997
ACM
159views Data Mining» more  KDD 1997»
15 years 5 months ago
New Algorithms for Fast Discovery of Association Rules
Discovery of association rules is an important problem in database mining. In this paper we present new algorithms for fast association mining, which scan the database only once, ...
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mi...
CEC
2010
IEEE
15 years 2 months ago
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules
— This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and...
Jose María Luna, José Raúl Ro...