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Engineering - Computational Intelligence and Complexity | Randomized Algorithms in Automatic Control and Data Mining

Randomized Algorithms in Automatic Control and Data Mining

Granichin, Oleg, Volkovich, Zeev (Vladimir), Toledano-Kitai, Dvora

2015, XXIV, 251 p. 99 illus., 19 illus. in color.

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  • Latest research on Randomized Algorithms in Automatic Control and Data Mining
  • Provides basic knowledge in Data Mining, Control Theory, Pattern Recognition and Randomized Algorithms
  • Written by leading experts in the field

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.

Content Level » Research

Keywords » Intelligent Systems - Randomized Algorithms in Automatic Control - Randomized Algorithms in Data Mining

Related subjects » Computational Intelligence and Complexity - Control Engineering - Database Management & Information Retrieval

Table of contents 

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

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