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Item Details
| Title:
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MULTIMEDIA DATA MINING AND ANALYTICS
DISRUPTIVE INNOVATION |
| By: |
Aaron K. Baughman (Editor), Jiang Gao (Editor), Jia-Yu Pan (Editor) |
| Format: |
Paperback |
| List price:
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£85.50 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
3319347217 |
| ISBN 13: |
9783319347219 |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
5 October, 2016 |
| Edition: |
Softcover reprint of the original 1st ed. 2015 |
| Pages: |
454 |
| Synopsis: |
This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations. Across the chapters, the discussion covers the practical frameworks, libraries, and open source software that enable the development of ground-breaking research into practical applications. Features: reviews how innovations in mobile, social, cognitive, cloud and organic based computing impacts upon the development of multimedia data mining; provides practical details on implementing the technology for solving real-world problems; includes chapters devoted to privacy issues in multimedia social environments and large-scale biometric data processing; covers content and concept based multimedia search and advanced algorithms for multimedia data representation, processing and visualization. |
| Illustrations: |
48 Tables, black and white; 153 Illustrations, color; 35 Illustrations, |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
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