Lecture Notes in Electrical Engineering

Advances in Machine Learning and Data Analysis

Editors: Amouzegar, Mahyar (Ed.)

  • Offers the state-of-the-art of tremendous advances in machine learning and data analysis
  • Serves as an excellent reference for researchers and graduate students working on machine learning and data analysis
  • Contains sixteen revised and extended research articles written by prominent researchers
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Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-90-481-3177-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-90-481-3176-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-94-007-3082-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Advances in Machine Learning and Data Analysis offers the state of the art of tremendous advances in machine learning and data analysis and also serves as an excellent reference text for researchers and graduate students, working on machine learning and data analysis.

Reviews

From the reviews: “This is a collection of papers from a large international conference on advances in machine learning and data analysis … . Readers who work with digital systems … would benefit most from this book. … Each chapter has … a bibliography that helps readers find further references, when needed. … the topics covered in this book should be of great interest to researchers and practitioners who want to apply machine learning technology and data analysis tools to problems in general electrical engineering areas … .” (Xiannong Meng, ACM Computing Reviews, March, 2010)

Table of contents (16 chapters)

  • 2D/3D Image Data Analysis for Object Tracking and Classification

    Ghobadi, Seyed Eghbal (et al.)

    Pages 1-13

  • Robot Competence Development by Constructive Learning

    Meng, Q. (et al.)

    Pages 15-26

  • Using Digital Watermarking for Securing Next Generation Media Broadcasts

    Birk, Dominik (et al.)

    Pages 27-41

  • A Reduced-Dimension Processor Model

    Beg, Azam

    Pages 43-56

  • Hybrid Machine Learning Model for Continuous Microarray Time Series

    Ao, Sio-Iong

    Pages 57-77

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-90-481-3177-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.00
price for USA
  • ISBN 978-90-481-3176-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-94-007-3082-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Machine Learning and Data Analysis
Editors
  • Mahyar Amouzegar
Series Title
Lecture Notes in Electrical Engineering
Series Volume
48
Copyright
2010
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-90-481-3177-8
DOI
10.1007/978-90-481-3177-8
Hardcover ISBN
978-90-481-3176-1
Softcover ISBN
978-94-007-3082-3
Series ISSN
1876-1100
Edition Number
1
Number of Pages
VIII, 239
Topics