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

• 作者： Granichin, Oleg.
• 其他作者：
  • Volkovich, Zeev (Vladimir)
  • Toledano-Kitai, Dvora.
  • SpringerLink (Online service)
• 其他題名：
  • Intelligent systems reference library,
• 出版： Berlin, Heidelberg : Springer Berlin Heidelberg :Imprint: Springer
• 叢書名： Intelligent systems reference library,v.67
• 主題： Computer algorithms , Automatic control , Data mining , Engineering , Computational intelligence , Control. , Data Mining and Knowledge Discovery.
• ISBN： 9783642547867 (electronic bk.) 、 9783642547850 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Randomized algorithms -- Randomization in estimation, identification and filtering problems under arbitrary external noises -- Data mining.
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• 摘要註: 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.
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