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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 7 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
WWW
2008
ACM
15 years 6 months ago
Discovering geographical-specific interests from web click data
As the Internet continues to play an important role in many business applications, it becomes vital to increase the competitive edge by offering geographically tailored contents t...
Chang Sheng, Wynne Hsu, Mong-Li Lee
WWW
2008
ACM
16 years 7 months ago
Efficient mining of frequent sequence generators
Sequential pattern mining has raised great interest in data mining research field in recent years. However, to our best knowledge, no existing work studies the problem of frequent...
Chuancong Gao, Jianyong Wang, Yukai He, Lizhu Zhou
INCDM
2009
Springer
145views Data Mining» more  INCDM 2009»
16 years 1 months ago
Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation
In this paper, data mining is used to analyze the differentiation of mammalian Mesenchymal Stem Cells (MSCs). A database comprising the key parameters which, we believe, influence ...
Weiqi Wang, Yanbo J. Wang, René Baña...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
16 years 27 days ago
Unsupervised Clustering In Streaming Data
Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of...
Dimitris K. Tasoulis, Niall M. Adams, David J. Han...