BDET--ACM, Ei Compendex and Scopus 2020 : ACM--2020 2nd International Conference on Big Data Engineering and Technology (BDET 2020)--Ei Compendex, Scopus

BDET 2020
2020 2nd International Conference on Big Data Engineering and Technology
Singapore
January 3-5, 2020
http://www.bdet.org/


Publication:
After a careful reviewing process, all accepted papers after proper registration and presentation will be published in the ACM International Conference Proceedings Series (ISBN: 978-1-4503-7683-9). All papers will be archived in the ACM Digital Library, and submitted to Ei Compendex and Scopus for index and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).

Call for Paper:
Big Data novel theory, algorithm and applications
Big Data standards
Security, privacy, trust, and legal issues to big data
Big Data vs Big Business and Big Industry
Large data stream processing on cloud
NoSQL data stores and DB scalability
Big Data placement, scheduling, and optimization
Distributed file systems for Big Data
Biomedical imaging pre-processing and Analysis
Hardware and Software solutions for Big Data Searching, Storing and Management
Structured and Unstructured Data/Text/Web Mining
Deep Learning architecture, representations, unsupervised and supervised algorithms
Scalable computational intelligence tools
Novel Computational Intelligence approaches for data analysis
Evolutionary and Bio-inspired approaches for Big Data analysis
New domains and novel applications related to Big Data technologies

More information, please go to: http://www.bdet.org/cfp.html


Venue:
NTU@ONE-NORTH, NANYANG TECHNOLOGICAL UNIVERSITY, SINGAPORE


Submission Methods:
Full Paper(publication and oral presentation)
Abstract(oral presentation only)
Electronic Submission System (.pdf)
http://www.easychair.org/conferences/?conf=bdet2020

Agenda Overview：
January 03, 2020: Registration & Conference Materials Collection
January 04, 2020: Keynote&Invited Speechs and Speech Sessions
January 05, 2020: One Day Tour & Academic visiting

Contacts:
Gretchen Liu
E-mail: [email protected]
Tel: +86-18081079313