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2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing = BDCC 2019 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing/ edited by Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram, Mu-Yen Chen.
Reminder of title:	BDCC 2019 /
other author:	Haldorai, Anandakumar.
Description:	XI, 504 p. 271 illus., 221 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-030-47560-4
ISBN:	9783030475604

2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing = BDCC 2019 /
2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive ComputingBDCC 2019 /[electronic resource] :edited by Anandakumar Haldorai, Arulmurugan Ramu, Sudha Mohanram, Mu-Yen Chen. - 1st ed. 2021. - XI, 504 p. 271 illus., 221 illus. in color.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8609. - EAI/Springer Innovations in Communication and Computing,.

Introduction -- Data Science for Cognitive Analysis -- Real-Time Ubiquitous Data Science -- Platform for Privacy Preserving Data Science -- Internet-Based Cognitive Platform -- Social Data Relationship Ranking on Internet -- Data Applications of Cognitive Communication -- Statistics, data filtering to decide what data to keep and informative aspects -- Machine Learning and Big Data -- Big Algorithms and Software Development -- Smart Grid Cyber Security Data Analysis -- Smart City Initiative and Big Applications -- Natural Language Generation -- Sustainable Computer and Communication Model -- Knowledge Engineering, Representation and Extraction -- Decision Making under Uncertainty -- Cloud Big Computing Services -- Scalable Data Management Systems -- Future Advancements -- Conclusion.

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019) took place in Coimbatore, India on December 12-13, 2019. Contains proceedings from 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019), Coimbatore, India, December 12-13, 2019; Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms; Includes contributions from researchers, academics, and professionals from around the world.

ISBN: 9783030475604

Standard No.: 10.1007/978-3-030-47560-4doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing = BDCC 2019 /
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505 0 $a Introduction -- Data Science for Cognitive Analysis -- Real-Time Ubiquitous Data Science -- Platform for Privacy Preserving Data Science -- Internet-Based Cognitive Platform -- Social Data Relationship Ranking on Internet -- Data Applications of Cognitive Communication -- Statistics, data filtering to decide what data to keep and informative aspects -- Machine Learning and Big Data -- Big Algorithms and Software Development -- Smart Grid Cyber Security Data Analysis -- Smart City Initiative and Big Applications -- Natural Language Generation -- Sustainable Computer and Communication Model -- Knowledge Engineering, Representation and Extraction -- Decision Making under Uncertainty -- Cloud Big Computing Services -- Scalable Data Management Systems -- Future Advancements -- Conclusion.
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