BigDML 2019: International Conference On Big Data, Machine Learning and Applications NIT Silchar NIT Silchar, India, December 16-19, 2019 |
Conference website | http://bigdml.nits.ac.in/ |
Submission link | https://easychair.org/conferences/?conf=bigdml2019 |
Submission deadline | July 31, 2019 |
International Conference on Big Data, Machine Learning, and Applications (BigDML 2019) focuses on both theory and applications in the broad areas of Big Data and Machine Learning. This conference aims to bring together the academia, researchers, developers and practitioners from scientific organizations and industry to share and disseminate recent research findings in the fields of Big Data, Machine Learning and its applications. BigDML is an outstanding platform to discuss the key findings, exchanging novel ideas, listening to the world class leaders and sharing experiences with peer groups. The conference will provide the opportunities of collaboration with national and international organization of repute to the research community. BigDML expects a large number of participants and submissions from worldwide.
All the accepted and presented papers expected to be published in Lecture Notes in Computer Science, Springer (to be communicated). The paper will be indexed in ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science, EI Engineering Index (Compendex and Inspec databases), ACM Digital Library, DBLP, Google Scholar, IO-Port, MathSciNet, Scopus, Zentralblatt MATH.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Full papers
- Short papers
- Plagarism policy: Any form of plagiarism is not tolerated at any cost. However, the plagiarism score must be less than 15%.
- Dual Submission: Simultaneous submission to anywhere else is strictly prohibited.
- Page length:
- Page length for full paper : 12 pages
- Additional pages for full paper: 4 pages
- Page length for short paper : 6 pages
- Additional pages for short paper: 2 pages
Note: Paper format must comply LNCS format. Please refer to the registration fees for additional page charges. - Double blind review:
- Author must not include authors names, affiliations, acknowledgement, and funding source.
- The authors should not reveal identity anywhere in the paper but anonymous citation is allowed.
- Authors will be requested to resumbit the paper in violation of double blind review guideline.
- Review policy: All papers are reviewed by at least three reviewers.
List of Topics
Track I: Big Data
Track-II: Machine Learning
Track III- Applications
Committees
Program Committee
- TBD
Venue
National Institute of Technology Silchar, Assam-788010, India.