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zadetkov: 614
491.
  • Interactive visual explorat... Interactive visual exploration of association rules with rule-focusing methodology
    Blanchard, Julien; Guillet, Fabrice; Briand, Henri Knowledge and information systems, 09/2007, Letnik: 13, Številka: 1
    Journal Article
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    Odprti dostop

    On account of the enormous amounts of rules that can be produced by data mining algorithms, knowledge post-processing is a difficult stage in an association rule discovery process. In order to find ...
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492.
  • KDDML: A middleware languag... KDDML: A middleware language and system for knowledge discovery in databases
    Romei, Andrea; Ruggieri, Salvatore; Turini, Franco Data & knowledge engineering, 05/2006, Letnik: 57, Številka: 2
    Journal Article
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    KDDML (KDD Markup Language) is a middleware language and system designed to support the development of final applications or higher level systems which deploy a mixture of data access, data ...
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493.
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494.
  • Targeting customers via dis... Targeting customers via discovery knowledge for the insurance industry
    Wu, Chien-Hsing; Kao, Shu-Chen; Su, Yann-Yean ... Expert systems with applications, 08/2005, Letnik: 29, Številka: 2
    Journal Article
    Recenzirano

    In this paper, the knowledge discovery in databases and data mining (KDD/DM), one of the data-based decision support technologies, is applied to help in targeting customers for the insurance ...
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495.
  • Estimation of the Rock Defo... Estimation of the Rock Deformation Modulus and RMR Based on Data Mining Techniques
    Martins, Francisco F.; Miranda, Tiago F. S. Geotechnical and geological engineering, 08/2012, Letnik: 30, Številka: 4
    Journal Article
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    In this work Data Mining tools are used to develop new and innovative models for the estimation of the rock deformation modulus and the Rock Mass Rating (RMR). A database published by Chun et al. ...
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496.
  • A compact and accurate mode... A compact and accurate model for classification
    Last, M.; Maimon, O. IEEE transactions on knowledge and data engineering, 02/2004, Letnik: 16, Številka: 2
    Journal Article
    Recenzirano

    We describe and evaluate an information-theoretic algorithm for data-driven induction of classification models based on a minimal subset of available features. The relationship between input ...
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497.
  • Methodological and practica... Methodological and practical aspects of data mining
    Feelders, A; Daniels, H; Holsheimer, M Information & management, 08/2000, Letnik: 37, Številka: 5
    Journal Article
    Recenzirano

    We describe the different stages in the data mining process and discuss some pitfalls and guidelines to circumvent them. Despite the predominant attention on analysis, data selection and ...
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498.
  • Big Data Big Data
    Schmarzo, Bill 2013, 2013-10-07T00:00:00, 2013-09-23, 2013-09-20, c2013
    eBook

    Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their ...
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499.
  • Using SOM in the performanc... Using SOM in the performance monitoring of the emergency call-taking system
    Klement, Petr; Snášel, Václav Simulation modelling practice and theory, 2011, 2011-1-00, 20110101, Letnik: 19, Številka: 1
    Journal Article
    Recenzirano

    The collaborative emergency call-taking information system in the Czech Republic forms a network of cooperating emergency call centres processing emergency calls to the European 112 emergency number. ...
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500.
  • Clausal Discovery Clausal Discovery
    De Raedt, Luc; Dehaspe, Luc Machine learning, 02/1997, Letnik: 26, Številka: 2-3
    Journal Article
    Recenzirano

    The clausal discovery engine claudien is presented. CLAUDIEN is an inductive logic programming engine that fits in the descriptive data mining paradigm. CLAUDIEN addresses characteristic induction ...
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