Overview
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.
Full Product Details
Author: Oleg Granichin ,
Zeev (Vladimir) Volkovich ,
Dvora Toledano-Kitai
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: Softcover reprint of the original 1st ed. 2015
Volume: 67
Dimensions:
Width: 15.50cm
, Height: 1.50cm
, Length: 23.50cm
Weight: 4.219kg
ISBN: 9783662522912
ISBN 10: 3662522918
Pages: 251
Publication Date: 17 September 2016
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Reviews
The book is a good resource for scientists, researchers, and practitioners who have a basic understanding of algorithms, control, and data mining in intelligent systems. ... This book is for people from disciplines such as computer science, engineering, and mathematics, who plan to work on randomized algorithms in intelligent systems. It is written in a scientific way, hence it can also be used as a graduate-level textbook. (Gulustan Dogan, Computing Reviews, August 21, 2019) This book carefully and broadly covers aspects related to data, data mining, information, and knowledge. The reader will find it very interesting to go through the evolutionary path that the field of data mining has traversed. Each area of data mining is clearly defined in this book, supported by algorithms and small examples. ... the book will generate interest in researchers involved in data structures and algorithms. (Harekrishna Misra, Computing Reviews, April, 2015)
This book carefully and broadly covers aspects related to data, data mining, information, and knowledge. The reader will find it very interesting to go through the evolutionary path that the field of data mining has traversed. Each area of data mining is clearly defined in this book, supported by algorithms and small examples. ... the book will generate interest in researchers involved in data structures and algorithms. (Harekrishna Misra, Computing Reviews, April, 2015)
