Last edited by Springer
26.06.2021 | History

4 edition of Data mining and knowledge discovery handbook found in the catalog.

Data mining and knowledge discovery handbook

strange things seen therein.

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      • Includes bibliographical references and index.

        StatementSpringer
        PublishersSpringer
        Classifications
        LC Classifications2005
        The Physical Object
        Paginationxvi, 87 p. :
        Number of Pages65
        ID Numbers
        ISBN 100387244352
        Series
        1nodata
        2
        3

        nodata File Size: 5MB.


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Data mining and knowledge discovery handbook by Springer Download PDF EPUB FB2


Data Mining and Knowledge Discovery Handbook : Oded Maimon : 9780387098227

… Each chapter contains a long list of references for further investigation. - Evolutionary algorithms for data mining. - Part I Preprocessing methods. - Part II Supervised methods. - Part III Unsupervised methods. com to load tweets curated by our Twitter account.

dblp: Data Mining and Knowledge Discovery Handbook 2010

- Data mining for intrusion detection. The methods applied to these data span the gamut from Artificial Intelligence to neural networks. - Introduction to supervised methods. - Data mining for selection of manufacturing processes. - Reinforcement-learning: an overview from a data mining perspective. This handbook focuses on Data Envelopment Analysis DEA applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness.