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    DATAMINE
    2006
    157views more  DATAMINE 2006»
    Data Clustering with Partial Supervision
    15 years 20 days ago
    Data Clustering with Partial Supervision
    Download  www.isys.uni-klu.ac.at
    Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
    Abdelhamid Bouchachia, Witold Pedrycz
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    DATAMINE
    2006
    117views more  DATAMINE 2006»
    A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
    15 years 20 days ago
    A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
    Download  is.tm.tue.nl
    Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
    Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
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    IJIS
    2008
    123views more  IJIS 2008»
    Algorithms of nonlinear document clustering based on fuzzy multiset model
    15 years 19 days ago
    Algorithms of nonlinear document clustering based on fuzzy multiset model
    Download  www.tulips.tsukuba.ac.jp
    Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
    Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto
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    106
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    IJAIT
    2006
    121views more  IJAIT 2006»
    An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection
    15 years 19 days ago
    An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection
    Download  www.aaai.org
    We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm 1) determines an appropriate piecewise...
    Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas...
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    136
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    IJON
    2006
    131views more  IJON 2006»
    Optimizing blind source separation with guided genetic algorithms
    15 years 19 days ago
    Optimizing blind source separation with guided genetic algorithms
    Download  hera.ugr.es
    This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
    J. M. Górriz, Carlos García Puntonet...
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