Screen LibraryNature-inspired algorithms for big data frameworks /
"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the rol...
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| Group Author: | ; ; |
|---|---|
| Published: |
Engineering Science Reference, an imprint of IGI Global,
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| Publisher Address: | Hershey, PA : |
| Publication Dates: | [2019] |
| Literature type: | Book |
| Language: | English |
| Series: |
Premier reference source
Advances in computational intelligence and robotics (ACIR) book series, |
| Subjects: | |
| Summary: |
"This book focuses on application of nature-inspired algorithms for handling issues and challenges posed by big data in diverse environments. It highlights the usability and performance measures of these techniques in dealing with data related problems of emerging areas. It also explore the role of machine learning techniques for the optimization and learning involving data intensive applications"-- |
| Carrier Form: | xxii, 412 pages pages : illustrations, forms ; 29 cm. |
| Bibliography: | Includes bibliographical references (pages 373-405) and index. |
| ISBN: |
9781522558521 (hardcover) : 1522558527 (hardcover) 9781522558538 (electronic book) 1522558535 (electronic book) |
| Index Number: | QA76 |
| CLC: |
TP301.6 TP311.11 |
| Call Number: | TP311.11/N285 |