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» Mining Approximative Descriptions of Sets Using Rough Sets
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PAKDD
2009
ACM
151views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Budget Semi-supervised Learning
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...
Zhi-Hua Zhou, Michael Ng, Qiao-Qiao She, Yuan Jian...
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
FINTAL
2006
13 years 11 months ago
A Text Mining Approach for Definition Question Answering
This paper describes a method for definition question answering based on the use of surface text patterns. The method is specially suited to answer questions about person's po...
Claudia Denicia-Carral, Manuel Montes-y-Góm...
IPL
2007
96views more  IPL 2007»
13 years 7 months ago
On constructing an optimal consensus clustering from multiple clusterings
Computing a suitable measure of consensus among several clusterings on the same data is an important problem that arises in several areas such as computational biology and data mi...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao, Jie...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 2 months ago
Parameter Tuning for Differential Mining of String Patterns
Constraint-based mining has been proven to be extremely useful for supporting actionable pattern discovery. However, useful conjunctions of constraints that support domain driven ...
Jérémy Besson, Christophe Rigotti, I...