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Randomized Algorithms in Automatic Control and Data Mining

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Randomized Algorithms in Automatic Control and Data Mining Synopsis

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 This Edition

ISBN: 9783662522912
Publication date:
Author: Oleg Granichin, Zeev Vladimir Volkovich, Dvora ToledanoKitai
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 251 pages
Series: Intelligent Systems Reference Library
Genres: Artificial intelligence
Expert systems / knowledge-based systems
Automatic control engineering
Data mining