Randomized Algorithms in Automatic Control and Data Mining (Intelligent Systems Reference Library, 67)
Language: English
Published by Springer, 2016
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
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Add to basketItem description from seller
In English.
Seller Inventory # ria9783662522912_new
- Title
- Randomized Algorithms in Automatic Control and Data Mining (Intelligent Systems Reference Library, 67)
- Author
- Granichin, Oleg; Volkovich, Zeev (Vladimir); Toledano-Kitai, Dvora
- Publisher
- Springer
- Publication year
- 2016
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3662522918
- ISBN 13
- 9783662522912
- Item weight
- 512 grams
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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