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IEAAIE
2009
Springer
14 years 10 days ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
ISCC
2002
IEEE
147views Communications» more  ISCC 2002»
13 years 10 months ago
A new method for finding generalized frequent itemsets in generalized association rule mining
Generalized association rule mining is an extension of traditional association rule mining to discover more informative rules, given a taxonomy. In this paper, we describe a forma...
Kritsada Sriphaew, Thanaruk Theeramunkong
CORR
2010
Springer
161views Education» more  CORR 2010»
13 years 5 months ago
Database Reverse Engineering based on Association Rule Mining
Maintaining a legacy database is a difficult task especially when system documentation is poor written or even missing. Database reverse engineering is an attempt to recover high-...
Nattapon Pannurat, Nittaya Kerdprasop, Kittisak Ke...
ADC
2007
Springer
140views Database» more  ADC 2007»
13 years 12 months ago
Incremental Mining for Temporal Association Rules for Crime Pattern Discoveries
In recent years, the concept of temporal association rule (TAR) has been introduced in order to solve the problem on handling time series by including time expressions into associ...
Vincent T. Y. Ng, Stephen Chi-fai Chan, Derek Lau,...
DMKD
2004
ACM
167views Data Mining» more  DMKD 2004»
13 years 11 months ago
FP-tax: tree structure based generalized association rule mining
Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. One of data mining techniques, generalized association rule mining wit...
Iko Pramudiono, Masaru Kitsuregawa