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KDD
2003
ACM
160views Data Mining» more  KDD 2003»
16 years 4 months ago
Playing hide-and-seek with correlations
We present a method for very high-dimensional correlation analysis. The method relies equally on rigorous search strategies and on human interaction. At each step, the method cons...
Chris Jermaine
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
16 years 4 months ago
Mining unexpected rules by pushing user dynamics
Unexpected rules are interesting because they are either previously unknown or deviate from what prior user knowledge would suggest. In this paper, we study three important issues...
Ke Wang, Yuelong Jiang, Laks V. S. Lakshmanan
KDD
2003
ACM
217views Data Mining» more  KDD 2003»
16 years 4 months ago
Algorithms for estimating relative importance in networks
Large and complex graphs representing relationships among sets of entities are an increasingly common focus of interest in data analysis--examples include social networks, Web gra...
Scott White, Padhraic Smyth
127
Voted
KDD
2001
ACM
164views Data Mining» more  KDD 2001»
16 years 4 months ago
Data mining criteria for tree-based regression and classification
This paper is concerned with the construction of regression and classification trees that are more adapted to data mining applications than conventional trees. To this end, we pro...
Andreas Buja, Yung-Seop Lee
CHI
2005
ACM
16 years 4 months ago
Applying the lessons of the attack on the world trade center, 11th September 2001, to the design and use of interactive evacuati
The collapse of buildings, such as terminal 2E at Paris' Charles de Gaule Airport, and of fires, such as the Rhode Island, Station Night Club tragedy, has focused public atte...
C. W. Johnson
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