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FQAS
2006
Springer
101views Database» more  FQAS 2006»
15 years 3 months ago
Cooperative Discovery of Interesting Action Rules
Action rules introduced in [12] and extended further to e-action rules [21] have been investigated in [22], [13], [20]. They assume that attributes in a database are divided into t...
Agnieszka Dardzinska, Zbigniew W. Ras
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 4 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
CORR
2010
Springer
173views Education» more  CORR 2010»
14 years 9 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
BMCBI
2008
171views more  BMCBI 2008»
14 years 12 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...
IDEAS
2009
IEEE
176views Database» more  IDEAS 2009»
15 years 6 months ago
Evaluation of skyline algorithms in PostgreSQL
In this paper, we present our work on evaluating the skyline algorithms BNL, SFS, and a variant of LESS in PostgreSQL. It is well known that the performance of skyline queries is ...
Hannes Eder, Fang Wei