Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds, 1st Edition (e-Book) book cover

Internet-Scale Pattern Recognition

New Techniques for Voluminous Data Sets and Data Clouds, 1st Edition

By Anang Muhamad Amin, Asad Khan, Benny Nasution

Chapman and Hall/CRC

197 pages

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Hardback: 9781466510968
pub: 2012-11-20
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pub: 2012-11-20
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Description

For machine intelligence applications to work successfully, machines must perform reliably under variations of data and must be able to keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational models that address performance and scalability to achieve higher levels

Table of Contents

I Recognition: A New Perspective: Introduction. Distributed Approach for Pattern Recognition. II Evolution of Internet-Scale Recognition: One-Shot Learning Considerations. Hierarchical Model for Pattern Recognition. Recognition via a Divide-and-Distribute Approach. III Systems and Tools: Internet-Scale Applications Development. IV Implementations and Applications: Multi-Feature Classifications for Complex Data. Pattern Recognition within Coarse-Grained Networks. Event Detection within Fine-Grained Networks. Recognition: The Future and Beyond. Bibliography.

About the Authors

Anang Hudaya Muhamad Amin is a senior lecturer in the Faculty of Information Science and Technology at Multimedia University in Malaysia. He received a BTech (Hons.) in information technology from Universiti Teknologi PETRONAS and a masters in network computing and PhD from Monash University. His research interests include artificial intelligence with specialization in distributed pattern recognition and bio-inspired computational intelligence, wireless sensor networks, and distributed computing.

Asad I. Khan is a senior lecturer in the Faculty of Information Technology at Monash University. Dr. Khan is an Australian Research Council assessor and has published over 80 refereed papers. His research areas include parallel computation, neural networks, and distributed pattern recognition as well as the development of e-research systems and intelligent sensor networks.

Benny Nasution is with the Department of Computer Engineering at Politeknik Negeri Medan. Dr. Nasution was awarded the IBM Award from Tokyo Research Lab and the Mollie Holman Medal from Monash University.

Subject Categories

BISAC Subject Codes/Headings:
COM021030
COMPUTERS / Database Management / Data Mining
COM037000
COMPUTERS / Machine Theory
COM060000
COMPUTERS / Internet / General