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Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds

✍ Scribed by Anang Muhamad Amin (Author); Asad Khan (Author); Benny Nasution (Author)


Publisher
Chapman and Hall/CRC
Year
2012
Leaves
196
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Subjects


Computer Science;Databases;Data Preparation & Mining;Information & Communication Technology (ICT);Internet & Multimedia;Engineering & Technology;Systems & Control Engineering;Machine Learning


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