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Next Generation of Data Mining

Next Generation of Data Mining

Interesting Research Book in Next Generation of Data Mining

Author(s) Name:  Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar

About the Book:

   The book explores Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms.
   The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.

Table of Contents

  • Data Mining in e-Science and Engineering
  • Ubiquitous, Distributed, and High Performance Data Mining
  • The Web, Semantics, and Text Data Mining
  • Data Mining in Security, Surveillance, and Privacy Protection
  • Index
  • ISBN:  9781420085860

    Publisher:  Chapman and Hall/CRC

    Year of Publication:  2008

    Book Link:  Home Page Url