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» Phenomenal Data Mining: From Data to Phenomena
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KDD
2010
ACM
249views Data Mining» more  KDD 2010»
15 years 8 months ago
Semi-supervised sparse metric learning using alternating linearization optimization
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
Wei Liu, Shiqian Ma, Dacheng Tao, Jianzhuang Liu, ...
BIBM
2010
IEEE
151views Bioinformatics» more  BIBM 2010»
15 years 4 months ago
Probabilistic topic modeling for genomic data interpretation
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
Xin Chen, Xiaohua Hu, Xiajiong Shen, Gail Rosen
BMCBI
2008
124views more  BMCBI 2008»
15 years 7 months ago
Literature-aided meta-analysis of microarray data: a compendium study on muscle development and disease
Background: Comparative analysis of expression microarray studies is difficult due to the large influence of technical factors on experimental outcome. Still, the identified diffe...
Rob Jelier, Peter A. C. 't Hoen, Ellen Sterrenburg...
KDD
1997
ACM
169views Data Mining» more  KDD 1997»
15 years 11 months ago
Learning to Extract Text-Based Information from the World Wide Web
Thereis a wealthof informationto be minedfromnarrative text on the WorldWideWeb.Unfortunately, standard natural language processing (NLP)extraction techniques expect full, grammat...
Stephen Soderland
SGAI
2007
Springer
16 years 28 days ago
Dynamic Rule Mining for Argumentation Based Systems
Argumentation has proved to be a very influential reasoning mechanism particularly in the context of multi agent systems. In this paper we introduce PADUA (Protocol for Argumenta...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...