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ACM-DMBD 2020-Ei/Scopus 2020 : 2020 3rd International Conference on Data Mining and Big Data (DMBD 2020) | |||||||||||
Link: http://www.dmbd2020.net/ | |||||||||||
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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 Xiamen, China 2020 3rd International Conference on Data Mining and Big Data (DMBD 2020) will be held in Xiamen, China 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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