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ICCBD 2020 - 3rd International Conference on Computing and Big Data (ICCBD 2020)

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Category Computing; Big Data

Deadline: April 05, 2020 | Date: August 05, 2020-August 07, 2020

Venue/Country: Taichung, Taiwan

Updated: 2020-03-25 17:11:41 (GMT+9)

Call For Papers - CFP

2020 the 3rd International Conference on Computing and Big Data (ICCBD 2020) will be held in Taichung Software Park, Taichung, Taiwan during August 05-07, 2020.

Good News about Publication:

ICCBD 2018 and ICCBD 2019 conference proceedings have been included into ACM digital library, which have been indexed by EI Compendex and Scopus.

Accepted excellent papers by ICCBD 2020 will be published by ACM, which will be archived in the ACM Digital Library, and sent to be indexed by EI Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science). ISBN: 978-1-4503-8786-6

Topics of interest for submission include, but are not limited to:

Intelligent networks

Intelligent databases

Intelligent tutoring systems

Distributed AI algorithms and techniques

Distributed AI systems and architectures

Neural networks and applications

Heuristic searching methods

Time series prediction

Fuzzy logic and learning

Inductive learning and applications

Computational Intelligence

Aspects of natural language processing


New Computational Models for Big Data

Data and Information Quality for Big Data

New Data Standards

Submission methods:


Conference Secretary: Ms. Luna Wu

Conference Website:


Tel: +86-13668294879 (China)

Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.