TY  - BOOK
AU  - Amin, Anang Hudaya Muhamad
AU  - Khan, Asad I.
AU  - Nasution, Benny B.
TI  - Internet-scale pattern recognition: new techniques for voluminous data sets and data clouds 
SN  - 9781466510968
U1  - 006.312 AMI-A 
PY  - 2013///
CY  - Boca Raton
PB  - CRC Press
KW  - Pattern recognition systems
KW  - Web usage mining
KW  - Data mining
KW  - Mathematical statistics--Data processing
KW  - Mathematical statistics
KW  - Big data
N1  - 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 of reliability. It explores different ways of implementing pattern recognition using machine intelligence.

Based on the authors’ research from the past 10 years, the text draws on concepts from pattern recognition, parallel processing, distributed systems, and data networks. It describes fundamental research on the scalability and performance of pattern recognition, addressing issues with existing pattern recognition schemes for Internet-scale data deployment. The authors review numerous approaches and introduce possible solutions to the scalability problem.

By presenting the concise body of knowledge required for reliable and scalable pattern recognition, this book shortens the learning curve and gives you valuable insight to make further innovations. It offers an extendable template for Internet-scale pattern recognition applications as well as guidance on the programming of large networks of devices
ER  -