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Springer BDCC 2018 - Big Data Innovation for Cognitive Computing

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Description

Explore the latest advancements in cognitive computing with the EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing: BDCC 2018. Published by Springer as part of the Innovations in Communication and Computing series, this proceeding provides a deep look into self-learning systems that aim to mirror human brain functions. This collection brings together research on how data mining, pattern recognition, and natural language processing (NLP) drive modern innovation. Readers will find detailed discussions on knowledge representation techniques and dynamic learning approaches. It is an essential resource for those studying the intersection of big data and sustainable technology. Whether you are researching data science for cognitive analysis or real-time ubiquitous data science, this volume covers the essential technological foundations needed to understand the future of intelligent systems. This academic text serves as a comprehensive guide to the evolving landscape of cognitive computing technologies.

Key Features

Covers cognitive computing technologies including knowledge representation and natural language processing algorithms.

Provides research on self-learning systems that utilize data mining and pattern recognition to mimic human brain functions.

Includes detailed papers on Data Science for Cognitive Analysis and real-time ubiquitous data science.

Part of the EAI/Springer Innovations in Communication and Computing series for academic excellence.

Explores dynamic learning approaches and the integration of big data for sustainable computing solutions.

Product Specifications

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

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