Swarm intelligence methods for statistical regression

A core task in Big Data analytics is the fitting of flexible, high-dimensional, models to noisy data in order to capture meaningful patterns. This book will describe methods from the field of computational swarm intelligence (SI) and how they can be used to solve optimization problems encountered in...

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Bibliographic Details
Main Author: Mohanty, Soumya D. (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press, Taylor & Francis Group 2019
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MARC

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100 1 |a Mohanty, Soumya D.,  |e author. 
245 1 0 |a Swarm intelligence methods for statistical regression  |c Soumya D. Mohanty. 
264 1 |a Boca Raton, FL  |b CRC Press, Taylor & Francis Group  |c 2019 
300 |a xvi, 120 pages  |b illustrations  |c 23 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a A core task in Big Data analytics is the fitting of flexible, high-dimensional, models to noisy data in order to capture meaningful patterns. This book will describe methods from the field of computational swarm intelligence (SI) and how they can be used to solve optimization problems encountered in Big Data analytics. It will consider some generic data analysis problems, and how they may be addressed using SI methods. 
592 |a 37586  |b 07/08/2019  |c RM 272.66  |h Bookline 
650 0 |a Big data. 
650 0 |a Swarm intelligence. 
650 0 |a Computational intelligence. 
650 0 |a Regression analysis. 
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