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Data Mining: A Tutorial-Based Primer, Second Edition

Data Mining: A Tutorial-Based Primer, Second Edition

Essential Research Book in Data Mining: A Tutorial-Based Primer, Second Edition

Author(s) Name:  Richard J. Roiger

About the Book:

   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.

Table of Contents

  • Data Mining Fundamentals
  • Data Mining: A First View
  • Data Mining: A Closer Look
  • Basic Data Mining Techniques
  • Tools for Knowledge Discovery
  • Weka—An Environment for Knowledge Discovery
  • Knowledge Discovery with RapidMiner
  • The Knowledge Discovery Process
  • Formal Evaluation Techniques
  • Building Neural Networks
  • Neural Networks
  • Building Neural Networks with Weka
  • Building Neural Networks with RapidMiner
  • Advanced Data Mining Techniques
  • Unsupervised Clustering Techniques
  • Specialized Techniques
  • The Data Warehouse
  • ISBN:  9781498763974

    Publisher:  Chapman and Hall/CRC

    Year of Publication:  2016

    Book Link:  Home Page Url