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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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL
CRC Press, Taylor & Francis Group
2019
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| Summary: | 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. |
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| Physical Description: | xvi, 120 pages illustrations 23 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781138558182 (hardback) 1138558184 (hardback) |