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» On Information-Theoretic Measures of Attribute Importance
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PAKDD
1999
ACM
87views Data Mining» more  PAKDD 1999»
13 years 10 months ago
On Information-Theoretic Measures of Attribute Importance
Abstract. An attribute is deemed important in data mining if it partitions the database such that previously unknown regularities are observable. Many information-theoretic measure...
Yiyu Yao, S. K. Michael Wong, Cory J. Butz
ICDE
2006
IEEE
130views Database» more  ICDE 2006»
14 years 7 months ago
MIC Framework: An Information-Theoretic Approach to Quantitative Association Rule Mining
We propose a framework, called MIC, which adopts an information-theoretic approach to address the problem of quantitative association rule mining. In our MIC framework, we first d...
Yiping Ke, James Cheng, Wilfred Ng
AROBOTS
2000
96views more  AROBOTS 2000»
13 years 5 months ago
Hierarchic Social Entropy: An Information Theoretic Measure of Robot Group Diversity
As research expands in multiagent intelligent systems, investigators need new tools for evaluating the artificial societies they study. It is impossible, for example, to correlate ...
Tucker R. Balch
ICML
1998
IEEE
14 years 6 months ago
An Information-Theoretic Definition of Similarity
Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an in...
Dekang Lin