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Springer BDCC 2018 - Big Data Innovation for Sustainable Cognitive Computing

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Description

This Springer proceedings volume collects peer-reviewed papers from the EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2018). The papers explore cognitive computing systems that leverage data mining, pattern recognition and natural language processing to emulate human brain functionality. Covering topics from knowledge representation and NLP algorithms to dynamic learning approaches, this collection addresses Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science and platform development for cognitive technologies. Essential reading for researchers and practitioners working in AI, machine learning and advanced data science applications.

Key Features

Springer proceedings featuring peer-reviewed research on cognitive computing and self-learning systems for sustainable applications.

Comprehensive coverage of natural language processing algorithms, knowledge representation techniques and data mining methodologies.

Papers addressing real-time ubiquitous data science and practical platform development for cognitive technologies.

International conference contributions exploring the intersection of big data innovation and machine learning approaches.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
19 October 2020
Listed Since
23 September 2020

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No barcode data available

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