Advertisement

Randomized Algorithms in Automatic Control and Data Mining

  • Oleg Granichin
  • Zeev (Vladimir) Volkovich
  • Dvora Toledano-Kitai

Part of the Intelligent Systems Reference Library book series (ISRL, volume 67)

Table of contents

  1. Front Matter
    Pages 1-22
  2. Randomized Algorithms

    1. Front Matter
      Pages 1-2
    2. Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
      Pages 3-22
    3. Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
      Pages 23-46
  3. Randomization in Estimation, Identification and Filtering Problems under Arbitrary External Noises

    1. Front Matter
      Pages 47-49
    2. Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
      Pages 51-74
    3. Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
      Pages 75-105
    4. Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
      Pages 107-127
  4. Data Mining

    1. Front Matter
      Pages 129-130
    2. Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
      Pages 131-161
    3. Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai
      Pages 163-228
  5. Back Matter
    Pages 229-249

About this book

Introduction

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.

Keywords

Intelligent Systems Randomized Algorithms in Automatic Control Randomized Algorithms in Data Mining

Authors and affiliations

  • Oleg Granichin
    • 1
  • Zeev (Vladimir) Volkovich
    • 2
  • Dvora Toledano-Kitai
    • 3
  1. 1.Department of Mathematics and MechanicsSaint Petersburg State UniversitySt. PetersburgRussia
  2. 2.Department of Software EngineeringORT Braude CollegeKarmielIsrael
  3. 3.Department of Software EngineeringORT Braude CollegeKarmielIsrael

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-54786-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-54785-0
  • Online ISBN 978-3-642-54786-7
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Finance, Business & Banking
Electronics
IT & Software
Telecommunications
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering