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RSFDGRC
2005
Springer
122views Data Mining» more  RSFDGRC 2005»
16 years 5 days ago
Ordered Belief Fusion in Possibilistic Logic
Abstract. In this paper, we propose a logical framework for reasoning about uncertain belief fusion. The framework is a combination of multi-agent epistemic logic and possibilistic...
Churn-Jung Liau
ROCAI
2004
Springer
16 years 1 days ago
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
Mathieu Roche, Jérôme Azé, Yve...
BMCBI
2007
156views more  BMCBI 2007»
15 years 6 months ago
Bio: : NEXUS: a Perl API for the NEXUS format for comparative biological data
Background: Evolutionary analysis provides a formal framework for comparative analysis of genomic and other data. In evolutionary analysis, observed data are treated as the termin...
Thomas Hladish, Vivek Gopalan, Chengzhi Liang, Wei...
ACSAC
2010
IEEE
14 years 10 months ago
Friends of an enemy: identifying local members of peer-to-peer botnets using mutual contacts
In this work we show that once a single peer-to-peer (P2P) bot is detected in a network, it may be possible to efficiently identify other members of the same botnet in the same ne...
Baris Coskun, Sven Dietrich, Nasir D. Memon
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
16 years 7 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic