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112
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NECO
2007
90views more  NECO 2007»
15 years 3 months ago
Neighborhood Property-Based Pattern Selection for Support Vector Machines
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
Hyunjung Shin, Sungzoon Cho
141
Voted
KDD
2008
ACM
138views Data Mining» more  KDD 2008»
16 years 3 months ago
Quantitative evaluation of approximate frequent pattern mining algorithms
Traditional association mining algorithms use a strict definition of support that requires every item in a frequent itemset to occur in each supporting transaction. In real-life d...
Rohit Gupta, Gang Fang, Blayne Field, Michael Stei...
163
Voted
KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 9 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
CSCW
2004
ACM
15 years 9 months ago
Six degrees of jonathan grudin: a social network analysis of the evolution and impact of CSCW research
In this paper, we describe the evolution and impact of computersupported cooperative work (CSCW) research through social network analysis of coauthorship data. A network of author...
Daniel B. Horn, Thomas A. Finholt, Jeremy P. Birnh...
123
Voted
BMCBI
2008
130views more  BMCBI 2008»
15 years 3 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...