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» On Information-Theoretic Measures of Attribute Importance
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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 6 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
KES
2007
Springer
14 years 2 months ago
Predictive and Contextual Feature Separation for Bayesian Metanetworks
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
Vagan Y. Terziyan
ALMOB
2008
131views more  ALMOB 2008»
13 years 8 months ago
Fast algorithms for computing sequence distances by exhaustive substring composition
The increasing throughput of sequencing raises growing needs for methods of sequence analysis and comparison on a genomic scale, notably, in connection with phylogenetic tree reco...
Alberto Apostolico, Olgert Denas
GI
2010
Springer
13 years 7 months ago
Toward an adaptive String Similarity Measure for Matching Product Offers
: Product matching aims at identifying different product offers referring to the same real-world product. Product offers are provided by different merchants and describe products u...
Andreas Thor
PODS
2002
ACM
138views Database» more  PODS 2002»
14 years 8 months ago
Fast Algorithms For Hierarchical Range Histogram Construction
Data Warehousing and OLAPapplications typically view data as having multiple logical dimensions e.g., product, location with natural hierarchies de ned on each dimension. OLAP que...
Sudipto Guha, Nick Koudas, Divesh Srivastava