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SGAI
2010
Springer
13 years 2 months ago
Evolving Temporal Association Rules with Genetic Algorithms
A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining,...
Stephen G. Matthews, Mario A. Góngora, Adri...
CINQ
2004
Springer
151views Database» more  CINQ 2004»
13 years 8 months ago
Query Languages Supporting Descriptive Rule Mining: A Comparative Study
Recently, inductive databases (IDBs) have been proposed to tackle the problem of knowledge discovery from huge databases. With an IDB, the user/analyst performs a set of very diffe...
Marco Botta, Jean-François Boulicaut, Cyril...
KDD
1998
ACM
136views Data Mining» more  KDD 1998»
13 years 9 months ago
Integrating Classification and Association Rule Mining
Classification rule mining aims to discover a small set of rules in the database that forms an accurate classifier. Association rule mining finds all the rules existing in the dat...
Bing Liu, Wynne Hsu, Yiming Ma
COMPSAC
2006
IEEE
13 years 11 months ago
Data Structure and Algorithm in Data Mining: Granular Computing View
This paper discusses foundations of conventional style of rule mining in which rules are extracted from a data table. Rule mining mainly uses the structure of a table, data partit...
Shusaku Tsumoto
MLDM
2007
Springer
13 years 11 months ago
A Novel Rule Ordering Approach in Classification Association Rule Mining
A Classification Association Rule (CAR), a common type of mined knowledge in Data Mining, describes an implicative co-occurring relationship between a set of binary-valued data-att...
Yanbo J. Wang, Qin Xin, Frans Coenen
ICDM
2007
IEEE
206views Data Mining» more  ICDM 2007»
13 years 11 months ago
A Novel Rule Weighting Approach in Classification Association Rule Mining
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using Classificat...
Yanbo J. Wang, Qin Xin, Frans Coenen