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116
Voted
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
16 years 1 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
112
Voted
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
16 years 1 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
KDD
2003
ACM
120views Data Mining» more  KDD 2003»
16 years 1 months ago
On detecting differences between groups
Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining t...
Geoffrey I. Webb, Shane M. Butler, Douglas A. Newl...
94
Voted
CHI
2008
ACM
16 years 1 months ago
Picbreeder: evolving pictures collaboratively online
Picbreeder is an online service that allows users to collaboratively evolve images. Like in other Interactive Evolutionary Computation (IEC) programs, users evolve images in Picbr...
Jimmy Secretan, Nicholas Beato
113
Voted
CHI
2006
ACM
16 years 1 months ago
Verbosity: a game for collecting common-sense facts
We address the problem of collecting a database of "common-sense facts" using a computer game. Informally, a common-sense fact is a true statement about the world that i...
Luis von Ahn, Mihir Kedia, Manuel Blum
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