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» Distributed Data Clustering Can Be Efficient and Exact
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CEC
2008
IEEE
16 years 22 days ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
VLDB
2009
ACM
208views Database» more  VLDB 2009»
16 years 6 months ago
A distributed spatial index for error-prone wireless data broadcast
Information is valuable to users when it is available not only at the right time but also at the right place. To support efficient location-based data access in wireless data broad...
Baihua Zheng, Wang-Chien Lee, Ken C. K. Lee, Dik L...
COLT
2010
Springer
15 years 4 months ago
Characterization of Linkage-based Clustering
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
Margareta Ackerman, Shai Ben-David, David Loker
146
Voted
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 6 months ago
BBM: bayesian browsing model from petabyte-scale data
Given a quarter of petabyte click log data, how can we estimate the relevance of each URL for a given query? In this paper, we propose the Bayesian Browsing Model (BBM), a new mod...
Chao Liu 0001, Christos Faloutsos, Fan Guo