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» Efficient Algorithms for Discovering Association Rules
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IRI
2007
IEEE
14 years 3 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin
DATAMINE
2006
130views more  DATAMINE 2006»
13 years 8 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
APWEB
2005
Springer
14 years 2 months ago
A Fast Algorithm for Mining Share-Frequent Itemsets
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
JMLR
2010
102views more  JMLR 2010»
13 years 3 months ago
Discover Local Causal Network around a Target to a Given Depth
For a given target node T and a given depth k 1, we propose an algorithm for discovering a local causal network around the target T to depth k. In our algorithm, we find parents,...
You Zhou, Changzhang Wang, Jianxin Yin, Zhi Geng
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 2 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu