ACM-DMBD 2019-Ei/Scopus 2019 : ACM-2019 2nd International Conference on Data Mining and Big Data (DMBD 2019)
Call For Papers
Call for Paper
2019 2nd International Conference on Data Mining and Big Data (DMBD 2019)
July 19-21, 2019 Seoul, Korea
2019 2nd International Conference on Data Mining and Big Data (DMBD 2019) will held in Seoul, Korea during July 19-21, 2019, provide 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 has been held in Singapore on July 20th-22nd Successfully, and the accepted papers have been published and indexed by Ei Compendex and Scopus successfully.
Publication and Indexing:
All accepted and registered papers will be included in the Conference Proceedings, published by ACM (ISBN: 978-1-4503-7141-4), which will be archived in the ACM Digital Library, and indexed by Ei Compendex, Scopus, IET and CNKI, etc.
If you have any question or request, please feel free to contact us.
Topics of Interest:
Big data foundations
Big data architectures
Big Data management
Applications of Big data
Reasoning on Big data
Big data analytics for prediction
Big data and cloud technologies
Big data and Internet of Things
High performance computing on big data
Scalable access to Big Data
Big data quality and provenance
Big data persistence and preservation
Data Streams Mining
Spatial Data Mining
Multimedia Data Mining
For More, please see: http://www.dmbd2019.net/topic.html
Prof. Tok Wang Ling, National University of Singapore, Singapore
Prof. Guo Song, The Hong Kong Polytechnic University, Hong Kong
Prof. Xuefeng Liang, Xidian University, China
Prof. Zhao Xi, Xi'an Jiaotong University, China
Prof. Wei Wang, Xi'an Jiaotong-Liverpool University, China
1. Paper Submission System: https://cmt3.research.microsoft.com/DMBD2019
2. Paper Submission Email: email@example.com
Once your submission received, we will give you feedback immediately.