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» Mining Association Rules from XML Data using XQuery
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HAIS
2011
Springer
12 years 10 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
IDEAL
2003
Springer
14 years 6 days ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
14 years 1 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock
CG
2007
Springer
13 years 7 months ago
Visual text mining using association rules
In many situations, individuals or groups of individuals are faced with the need to examine sets of documents to achieve understanding of their structure and to locate relevant in...
Alneu de Andrade Lopes, Roberto Pinho, Fernando Vi...
MLDM
2007
Springer
14 years 1 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