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» Identifying Objects Using Cluster and Concept Analysis
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PKDD
1999
Springer
130views Data Mining» more  PKDD 1999»
13 years 9 months ago
OPTICS-OF: Identifying Local Outliers
: For many KDD applications finding the outliers, i.e. the rare events, is more interesting and useful than finding the common cases, e.g. detecting criminal activities in E-commer...
Markus M. Breunig, Hans-Peter Kriegel, Raymond T. ...
ICSE
2007
IEEE-ACM
14 years 5 months ago
Mining Security-Sensitive Operations in Legacy Code Using Concept Analysis
This paper presents an approach to statically retrofit legacy servers with mechanisms for authorization policy enforcement. The approach is based upon the observation that securit...
Vinod Ganapathy, Dave King 0002, Trent Jaeger, Som...
JIPS
2007
103views more  JIPS 2007»
13 years 5 months ago
Feature Extraction of Concepts by Independent Component Analysis
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
Altangerel Chagnaa, Cheolyoung Ock, Chang Beom Lee...
ITCC
2005
IEEE
13 years 11 months ago
Using Formal Concept Analysis to Establish Model Dependencies
models evolve at different levels of abstraction, from the requirements specification to development of the source code. The models underlying this process are related and their ...
Igor Ivkovic, Kostas Kontogiannis
JCB
2008
73views more  JCB 2008»
13 years 5 months ago
Identifying Genes of Gene Regulatory Networks Using Formal Concept Analysis
Jutta Gebert, Susanne Motameny, Ulrich Faigle, Chr...