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Randomized algorithms in automatic control and data mining

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Randomized algorithms in automatic control and data mining/ by Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai.
Author:	Granichin, Oleg.
other author:	Volkovich, Zeev (Vladimir)
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xxiv, 251 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Computer algorithms. -
Online resource:	http://dx.doi.org/10.1007/978-3-642-54786-7
ISBN:	9783642547867 (electronic bk.)

Randomized algorithms in automatic control and data mining
Granichin, Oleg.

Randomized algorithms in automatic control and data mining[electronic resource] /by Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xxiv, 251 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.671868-4394 ;. - Intelligent systems reference library ;v. 3..

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

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.

ISBN: 9783642547867 (electronic bk.)

Standard No.: 10.1007/978-3-642-54786-7doiSubjects--Topical Terms:

528448
Computer algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Randomized algorithms in automatic control and data mining
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245 1 0 $a Randomized algorithms in automatic control and data mining $h [electronic resource] / $c by Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai.
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505 0 $a Randomized algorithms -- Randomization in estimation, identification and filtering problems under arbitrary external noises -- Data mining.
520 $a 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.
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