Intelligent Systems Reference Library

Randomized Algorithms in Automatic Control and Data Mining

Authors: Granichin, Oleg, Volkovich, Zeev Vladimir, Toledano-Kitai, Dvora

  • Latest research on Randomized Algorithms in Automatic Control and Data Mining
  • Provides basic knowledge in Data Mining, Control Theory, Pattern Recognition and Randomized Algorithms
  • Written by leading experts in the field
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eBook $99.00
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  • ISBN 978-3-642-54786-7
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  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-54785-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
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  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-662-52291-2
  • Free shipping for individuals worldwide
Rent the ebook  
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About this book

In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals of randomized algorithm applications in data mining (especially clustering) and in automatic control synthesis. The methods proposed in this book guarantee that the computational complexity of classical algorithms and the conservativeness of standard robust control techniques will be reduced. It is shown that when a problem requires "brute force" in selecting among options, algorithms based on random selection of alternatives offer good results with certain probability for a restricted time and significantly reduce the volume of operations.

Reviews

“This book carefully and broadly covers aspects related to data, data mining, information, and knowledge. The reader will find it very interesting to go through the evolutionary path that the field of data mining has traversed. Each area of data mining is clearly defined in this book, supported by algorithms and small examples. … the book will generate interest in researchers involved in data structures and algorithms.” (Harekrishna Misra, Computing Reviews, April, 2015)


Table of contents (7 chapters)

  • Feedback, Averaging and Randomization in Control and Data Mining

    Granichin, Oleg (et al.)

    Pages 3-22

  • Historical Overview

    Granichin, Oleg (et al.)

    Pages 23-46

  • Randomized Stochastic Approximation

    Granichin, Oleg (et al.)

    Pages 51-74

  • Linear Models

    Granichin, Oleg (et al.)

    Pages 75-105

  • Randomized Control Strategies

    Granichin, Oleg (et al.)

    Pages 107-127

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-54786-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-54785-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-662-52291-2
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Randomized Algorithms in Automatic Control and Data Mining
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
67
Copyright
2015
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-54786-7
DOI
10.1007/978-3-642-54786-7
Hardcover ISBN
978-3-642-54785-0
Softcover ISBN
978-3-662-52291-2
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XXIV, 251
Number of Illustrations and Tables
80 b/w illustrations, 19 illustrations in colour
Topics