Name: Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds (en Inglés)
Price: 228.44 USD
Availability: InStock
Author: Muhamad Amin, Anang ; Khan, Asad ; Nasution, Benny
ISBN: 9781466510968

portada Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds (en Inglés)

Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

198

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.7 x 1.5 cm

Peso

0.48 kg.

ISBN

146651096x

ISBN13

9781466510968

Categorías

Internet: obras generales
Minería de datos («data mining»)
Teoría matemática de la computación
Aprendizaje automático («machine learning»)

Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds (en Inglés)

Anang Muhamad Amin (Autor) · Asad Khan (Autor) · Benny Nasution (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds (en Inglés)"

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.