Muhamad Amin, Anang Hudaya.,
Internet-scale pattern recognition : new techniques for voluminous data sets and data clouds / Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution. - 1 online resource (xviii, 179 pages)
A Chapman & Hall book.
1. Recognition : a new perspective -- 2. Evolution of internet-scale recognition -- 3. Systems and tools -- 4. Implementations and applications -- 5. The way forward.
This cutting-edge reference outlines the underlying theory and principles of efficient and effective distributed pattern recognition involving one-shot learning and in-network processing for different types of applications, including multimedia retrieval systems and event detection over different network environments. Investigating one-shot learning and in-network processing as complementary mechanisms for efficient and accurate distributed pattern analyses, it presents the technical aspects related to the development of scalable pattern recognition using a number of contemporary application development tools. It also considers scalability of pattern recognition schemes when dealing with such data--
9780429096471
10.1201/b12989 doi
Web usage mining.
Mathematical statistics--Data processing.
Data mining.
Pattern recognition systems.
QA76.9.D343 / M84 2013
006.312 / M952
Internet-scale pattern recognition : new techniques for voluminous data sets and data clouds / Anang Hudaya Muhamad Amin, Asad I. Khan, Benny B. Nasution. - 1 online resource (xviii, 179 pages)
A Chapman & Hall book.
1. Recognition : a new perspective -- 2. Evolution of internet-scale recognition -- 3. Systems and tools -- 4. Implementations and applications -- 5. The way forward.
This cutting-edge reference outlines the underlying theory and principles of efficient and effective distributed pattern recognition involving one-shot learning and in-network processing for different types of applications, including multimedia retrieval systems and event detection over different network environments. Investigating one-shot learning and in-network processing as complementary mechanisms for efficient and accurate distributed pattern analyses, it presents the technical aspects related to the development of scalable pattern recognition using a number of contemporary application development tools. It also considers scalability of pattern recognition schemes when dealing with such data--
9780429096471
10.1201/b12989 doi
Web usage mining.
Mathematical statistics--Data processing.
Data mining.
Pattern recognition systems.
QA76.9.D343 / M84 2013
006.312 / M952