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» On Subjective Measures of Interestingness in Knowledge Disco...
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DBSEC
2000
138views Database» more  DBSEC 2000»
13 years 8 months ago
Discovery of Multi-Level Security Policies
With the increasing complexity and dynamics of database and information systems, it becomes more and more di cult for administrative personnel to identify, specify and enforce sec...
Christina Yip Chung, Michael Gertz, Karl N. Levitt
AUSAI
2005
Springer
14 years 28 days ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 7 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
KDD
2005
ACM
73views Data Mining» more  KDD 2005»
14 years 7 months ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...
EAAI
2007
93views more  EAAI 2007»
13 years 7 months ago
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
: In knowledge discovery and data mining many measures of interestingness have been proposed in order to measure the relevance and utility of the discovered patterns. Among these m...
Izabela Brzezinska, Salvatore Greco, Roman Slowins...