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ACM-DMBD 2020-Ei/Scopus 2020 : 2020 3rd International Conference on Data Mining and Big Data (DMBD 2020)

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Link: http://www.dmbd2020.net/
 
When Jul 24, 2020 - Jul 26, 2020
Where Melbourne, Australia
Submission Deadline Feb 29, 2020
Categories    big data   data mining   databases   data science
 

Call For Papers

Call for Paper
2020 3rd International Conference on Data Mining and Big Data
(DMBD 2020)

Website: http://www.dmbd2020.net/

July 24-26, 2020 Melbourne, Australia

2020 3rd International Conference on Data Mining and Big Data (DMBD 2020) will be held in Melbourne, Australia during July 24-26, 2020, providing an excellent international forum for sharing knowledge and results in Data Mining and Big Data. It provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Mining and Big Data areas.

★DMBD 2018 accepted papers have been cluded in DSIT 2018 conference proceedings and published by ACM (ISBN: 978-1-4503-6521-5) and indexed by EI Compendex and Scopus successfully about two months after publication.

★DMBD 2019 accepted papers have been published by ACM (ISBN: 978-1-4503-7141-4) and indexed by EI Compendex and Scopus successfully about 40 days after publication.

★DMBD 2020 accepted papers will be included in the Conference Proceedings, published by ACM (ISBN: 978-1-4503-7604-4), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus!

Topics of Interest:
Big Data
pseudonymisation mechanisms
Big data foundations
Big data transformations, processing and storage
Big data architectures
Big data semantics, interoperability and mining
Big Data management
Statistical and Scientific Databases
Applications of Big data
Big data software
Reasoning on Big data
Big Data visualization
Big data analytics for prediction
Big data understanding
Deep Analytics
Unknown in large Data Graphs
Big data and cloud technologies
Data Mining
Big data and Internet of Things
Data Streams Mining
High performance computing on Big data
Web mining
Scalable access to Big Data
Graph Mining
Big data quality and provenance

For more, please see: http://www.dmbd2020.net/topic.html

Publication and Indexing:
All the accepted papers will be included in the Conference Proceedings, which will be published and submitted to Ei Compendex, Scopus, CPCI (ISTP) and CNKI for indexing.

If you have any question or request, please feel free to contact us.

Submission:
1. Paper Submission System: https://cmt3.research.microsoft.com/DMBD2020
2. Paper Submission Email: dmbd@aiase.net

Once your submission received, we will send you the confirmation email within 24 hours.

Contact Us:
Website:http://www.dmbd2020.net/
Email:dmbd@aiase.net
Tel:+852 53465620

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