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» Generalized Closed Itemsets for Association Rule Mining
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APWEB
2005
Springer
15 years 7 months ago
Mining Quantitative Associations in Large Database
Association Rule Mining algorithms operate on a data matrix to derive association rule, discarding the quantities of the items, which contains valuable information. In order to mak...
Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang,...
ADMA
2007
Springer
159views Data Mining» more  ADMA 2007»
15 years 8 months ago
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
109
Voted
TCS
2008
15 years 1 months ago
Itemset frequency satisfiability: Complexity and axiomatization
Computing frequent itemsets is one of the most prominent problems in data mining. We study the following related problem, called FREQSAT, in depth: given some itemset-interval pai...
Toon Calders
107
Voted
DMIN
2006
156views Data Mining» more  DMIN 2006»
15 years 3 months ago
Design of a data mining framework to mine generalized association rules in a web-based GIS
A Geographic Information System allows to create and manage spatial data. Having many public users who create and edit objects in geographic maps, the question of data quality aris...
Sebastian Haehnel, Johannes Hauf, Thomas Kudrass
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 2 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid