大葉大學圖書館 |

Randomized algorithms in automatic control and data mining[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.1
書名/作者:	Randomized algorithms in automatic control and data mining/ by Oleg Granichin, Zeev (Vladimir) Volkovich, Dvora Toledano-Kitai.
作者:	Granichin, Oleg.
其他作者:	Volkovich, Zeev (Vladimir)
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
面頁冊數:	xxiv, 251 p. : : ill. (some col.), digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Computer algorithms.
標題:	Automatic control.
標題:	Data mining.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Control.
標題:	Data Mining and Knowledge Discovery.
ISBN:	9783642547867 (electronic bk.)
ISBN:	9783642547850 (paper)
內容註:	Randomized algorithms -- Randomization in estimation, identification and filtering problems under arbitrary external noises -- Data mining.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-642-54786-7

Randomized algorithms in automatic control and data mining[electronic resource] /
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.24..

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:

179921
Computer algorithms.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Randomized algorithms in automatic control and data mining[electronic resource] /
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100 1 $a Granichin, Oleg. $3 602153
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.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xxiv, 251 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.67
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.
650 0 $a Computer algorithms. $3 179921
650 0 $a Automatic control. $3 176023
650 0 $a Data mining. $3 337740
650 1 4 $a Engineering. $3 372756
650 2 4 $a Computational Intelligence. $3 463962
650 2 4 $a Control. $3 463886
650 2 4 $a Data Mining and Knowledge Discovery. $3 464541
700 1 $a Volkovich, Zeev (Vladimir) $3 602154
700 1 $a Toledano-Kitai, Dvora. $3 602155
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830 0 $a Intelligent systems reference library ; $v v.24. $3 465446
856 4 0 $u http://dx.doi.org/10.1007/978-3-642-54786-7
950 $a Engineering (Springer-11647)

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