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    NBIS
    2010
    Springer
    158views Computer Networks» more  NBIS 2010»
    Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
    13 years 8 months ago
    Mining Association Rules Consisting of Download Servers from Distributed Honeypot Observation
    Download  www.cs.dm.u-tokai.ac.jp
    This paper aims to find interested association rules, known as data mining technique, out of the dataset of downloading logs by focusing on the coordinated activity among downloadi...
    Masayuki Ohrui, Hiroaki Kikuchi, Masato Terada
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    DSS
    2007
    127views more  DSS 2007»
    Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
    13 years 10 months ago
    Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
    Download  www.ischool.drexel.edu
    We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
    Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
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    ACL
    2009
    123views Computational Linguistics» more  ACL 2009»
    Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data
    13 years 8 months ago
    Improving Automatic Speech Recognition for Lectures through Transformation-based Rules Learned from Minimal Data
    Download  newdesign.aclweb.org
    We demonstrate that transformation-based learning can be used to correct noisy speech recognition transcripts in the lecture domain with an average word error rate reduction of 12...
    Cosmin Munteanu, Gerald Penn, Xiaodan Zhu
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    ICANN
    2003
    Springer
    92views Neural Networks» more  ICANN 2003»
    Learning Rule Representations from Boolean Data
    14 years 4 months ago
    Learning Rule Representations from Boolean Data
    Download  www.image.ntua.gr
    We discuss a Probably Approximate Correct (PAC) learning paradigm for Boolean formulas, which we call PAC meditation, where the class of formulas to be learnt is not known in advan...
    Bruno Apolloni, Andrea Brega, Dario Malchiodi, Gio...
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    SAC
    2005
    ACM
    103views Applied Computing» more  SAC 2005»
    Incremental rule learning based on example nearness from numerical data streams
    14 years 4 months ago
    Incremental rule learning based on example nearness from numerical data streams
    Download  www.upo.es
    Francisco J. Ferrer-Troyano, Jesús S. Aguil...
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