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» Discovering Interesting Subsets Using Statistical Analysis
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DSS
2007
127views more  DSS 2007»
13 years 9 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
DAGSTUHL
2004
13 years 11 months ago
Knowledge-Based Sampling for Subgroup Discovery
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
Martin Scholz
ACL
2010
13 years 8 months ago
Mood Patterns and Affective Lexicon Access in Weblogs
The emergence of social media brings chances, but also challenges, to linguistic analysis. In this paper we investigate a novel problem of discovering patterns based on emotion an...
Thin Nguyen
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
14 years 3 months ago
A content-based image retrieval system for fish taxonomy
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
Yixin Chen, Henry L. Bart Jr., Fei Teng
HICSS
2010
IEEE
130views Biometrics» more  HICSS 2010»
14 years 4 months ago
On the Reliability of Software Piracy Statistics
Despite tremendous debate and policy interest in software piracy, the accuracy of piracy statistics compiled by the Business Software Alliance (BSA) has been accepted at face valu...
Ivan P. L. Png