Logo - springer
Slogan - springer

Engineering - Computational Intelligence and Complexity | Randomized Algorithms in Automatic Control and Data Mining

Randomized Algorithms in Automatic Control and Data Mining

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

2015, XXIV, 251 p. 99 illus., 19 illus. in color.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-54786-7

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-54785-0

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • 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

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.

Content Level » Research

Keywords » Intelligent Systems - Randomized Algorithms in Automatic Control - Randomized Algorithms in Data Mining

Related subjects » Computational Intelligence and Complexity - Control Engineering - Database Management & Information Retrieval

Table of contents 

Randomized algorithms.- Randomization in estimation, identification and filtering problems under arbitrary external noises.- Data mining.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Intelligence.