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      Data Mining: A Tutorial-Based Primer, Second Edition

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      Firm sale: non returnable item
      SKU 9781498763974 Categories ,
      Select Guide Rating
      This textbook provides a tutorial-based introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The book follows the format of the first edition, but with updates and additions throughout.

      Data Mining:...

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      Description

      Product ID:9781498763974
      Product Form:Paperback / softback
      Country of Manufacture:US
      Series:Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
      Title:Data Mining
      Subtitle:A Tutorial-Based Primer, Second Edition
      Authors:Author: Richard J. Roiger
      Page Count:530
      Subjects:Probability and statistics, Probability & statistics, Data mining, Data mining
      Description:Select Guide Rating
      This textbook provides a tutorial-based introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The book follows the format of the first edition, but with updates and additions throughout.

      Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools.

      Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more.

      The text provides in-depth coverage of RapidMiner Studio and Weka’s Explorer interface. Both software tools are used for stepping students through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining experience.

       

       


      Imprint Name:Chapman & Hall/CRC
      Publisher Name:Taylor & Francis Inc
      Country of Publication:GB
      Publishing Date:2016-12-01

      Additional information

      Weight946 g
      Dimensions179 × 254 × 30 mm