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Springer BDCC 2018 Big Data Innovation Sustainable Cognitive Computing

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12 days 62 days · current 0 16 31 47 62 £104 £108 Days at Price

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Price levels: 2 different prices over 74 days

Description

This Springer proceedings volume collects papers from the EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, exploring how cognitive computing systems learn and adapt using data mining, pattern recognition, and natural language processing to emulate human brain function. The conference papers cover cognitive computing technologies including knowledge representation techniques, natural language processing algorithms, and dynamic learning approaches. Topics span Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, and platform innovations, making this an essential resource for researchers and practitioners working at the intersection of big data, machine learning, and cognitive systems development.

Key Features

Springer proceedings featuring peer-reviewed papers on cognitive computing and big data innovation from the BDCC 2018 international conference.

In-depth coverage of self-learning systems that use data mining, pattern recognition, and natural language processing to mirror human brain capabilities.

Comprehensive exploration of knowledge representation techniques, natural language processing algorithms, and dynamic learning methodologies.

Research spanning Data Science for Cognitive Analysis and Real-Time Ubiquitous Data Science applications and platforms.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 October 2019
Listed Since
04 April 2019

Barcode

No barcode data available

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