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ICBDM--EI and Scopus 2020 : 2020 the 3rd International Conference on Big Data Management (ICBDM 2020)--SCOPUS, Ei Compendex

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Link: http://www.icbdm.org/
 
When Feb 15, 2020 - Feb 17, 2020
Where Shenzhen, China
Submission Deadline Oct 25, 2019
Categories    data management   data mining   information technology   cloud computing
 

Call For Papers

ICBDM 2020
2020 the 3rd International Conference on Big Data Management (ICBDM 2020)--SCOPUS, Ei Compendex

Shenzhen, China
February 15-17, 2020
http://www.icbdm.org/

Supported by: Southwest Jiaotong University, China; Metropolitan State University of Denver, USA; Asia Society of Researchers

**Publication:
ICBDM 2020 is the workshop of 2020 12th International Conference on Machine Learning and Computing. All submitted conference papers will be peer-reviewed by 2-3 competent reviewers. After a careful reviewing process, all accepted papers after proper registration and presentation, will be published in the ICMLC 2020 Conference Proceedings as a special chapter, which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus.

**Call for Papers:
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
More topics, please visit: http://www.icbdm.org/topic.html

**Venue:
Grand Skylight Hotel Shenzhen
Address: No. 3024 Shennan Central Road, Futian, 518031 Shenzhen, China

**Agenda Overview:
Feb. 15, 2020: Conference Check in and Materials Collection
Feb. 16, 2020: Opening Remarks, Keynote Speech and Parallel Sessions
Feb. 17, 2020: Parallel Sessions

**Submission Methods:
1. Full Paper(publication and oral presentation)
2. Abstract(oral presentation only)
Please submit your paper or abstract via Electronic Submission System (.pdf)
http://confsys.iconf.org/submission/icbdm2020
Or conference email: icbdm@asr.org

**Contacts:
Mr. Jack T. Feng
E-mail: icbdm@asr.org
Tel: +86-18381008370

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