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KDD
2008
ACM
119views Data Mining» more  KDD 2008»
16 years 2 months ago
SAIL: summation-based incremental learning for information-theoretic clustering
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...
Junjie Wu, Hui Xiong, Jian Chen
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 2 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 7 months ago
Constructive induction and genetic algorithms for learning concepts with complex interaction
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...
Leila Shila Shafti, Eduardo Pérez
KDD
1997
ACM
128views Data Mining» more  KDD 1997»
15 years 6 months ago
An Interactive Visualization Environment for Data Exploration
Exploratory data analysis is a process of sifting through data in search of interesting information or patterns. Analysts’ current tools for exploring data include database mana...
Mark Derthick, John Kolojejchick, Steven F. Roth
KDD
2012
ACM
190views Data Mining» more  KDD 2012»
13 years 4 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou