Last edited by Springer
26.06.2021 | History

1 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, 63 p. :
        Number of Pages41
        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


- Bias vs variance decomposition for regression and classification. Companies often have gigabytes of data that need to be analysed.

Data Mining and Knowledge Discovery Handbook : Oded Maimon : 9780387098227

A much needed resource on one of the fastest growing areas of computer applications--the development and use of tools to analyze, interpret, and make use of the enormous amounts of information stored in the world's databases. - Statistical methods for data mining. - Part V Supporting methods. - Part VI Advanced methods.

Rokach, L. and Maimon, O. (2005) Clustering Methods Data Mining and Knowledge Discovery Handbook, Springer, New York, 321

… The book is a comprehensive and detailed reference. - Dimension Reduction and feature selection. Although we do not Data mining and knowledge discovery handbook any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data.

Data Mining and Knowledge Discovery Handbook, Second Edition is designed for research scientists, libraries and advanced-level students in computer science and engineering as a reference. Due to the availability of lithogeochemical regular data in the region as well as the importance of exploration of metal minerals in order to simplify and summarize the geochemical map, geostatistical methods were used to identify the mineralization potential of the region.

Dimensions 155 x 235 x 50. - Mining with rare cases. - Bias vs variance decomposition for regression and classification. It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area.

It is an indispensable reference for researchers and an excellent starting point for advanced students taking graduate courses in this area. - Mining with rare cases.