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    KDD
    2003
    ACM
    205views Data Mining» more  KDD 2003»
    The data mining approach to automated software testing
    14 years 8 months ago
    The data mining approach to automated software testing
    Download  www2.cs.uh.edu
    In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
    Mark Last, Menahem Friedman, Abraham Kandel
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    ATAL
    2005
    Springer
    130views Intelligent Agents» more  ATAL 2005»
    Discovering strategic multi-agent behavior in a robotic soccer domain
    14 years 1 months ago
    Discovering strategic multi-agent behavior in a robotic soccer domain
    Download  www.cs.huji.ac.il
    2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
    Andraz Bezek
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    FUIN
    2000
    109views more  FUIN 2000»
    Building Knowledge Scouts Using KGL Metalanguage
    13 years 7 months ago
    Building Knowledge Scouts Using KGL Metalanguage
    Download  www.mli.gmu.edu
    Knowledge scouts are software agents that autonomously search for and synthesize user-oriented knowledge (target knowledge) in large local or distributed databases. A knowledge ge...
    Ryszard S. Michalski, Kenneth A. Kaufman
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    BMCBI
    2008
    146views more  BMCBI 2008»
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    13 years 8 months ago
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    Download  www.biomedcentral.com
    Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
    Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
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    IJAIT
    2007
    180views more  IJAIT 2007»
    Detection and Prediction of Rare Events in Transaction Databases
    13 years 8 months ago
    Detection and Prediction of Rare Events in Transaction Databases
    Download  lpis.csd.auth.gr
    Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
    Christos Berberidis, Ioannis P. Vlahavas
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