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WIDM
2011
ACM
14 years 12 months ago
Filtered-top-k association discovery
Association mining has been one of the most intensively researched areas of data mining. However, direct uptake of the resulting technologies has been relatively low. This paper e...
Geoffrey I. Webb
122
Voted
AI
2003
Springer
15 years 10 months ago
Explanation-Oriented Association Mining Using a Combination of Unsupervised and Supervised Learning Algorithms
We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Yiyu Yao, Yan Zhao, R. Brien Maguire
DATAMINE
2007
103views more  DATAMINE 2007»
15 years 5 months ago
Relational peculiarity-oriented mining
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity iden...
Muneaki Ohshima, Ning Zhong, Yiyu Yao, Chunnian Li...
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
16 years 5 months ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
PKDD
2005
Springer
136views Data Mining» more  PKDD 2005»
15 years 10 months ago
Weka4WS: A WSRF-Enabled Weka Toolkit for Distributed Data Mining on Grids
This paper presents Weka4WS, a framework that extends the Weka toolkit for supporting distributed data mining on Grid environments. Weka4WS adopts the emerging Web Services Resourc...
Domenico Talia, Paolo Trunfio, Oreste Verta