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The 8th International Conference on Big Data Analytics (BDA 2020) will be held during December 15-18, 2020 at Ashoka University, India. The conference will be organized by Ashoka University. BDA 2020 provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends.
The first BDA conference was successfully held in New Delhi, India, in December 2012 as a part of collaboration between the University of Delhi, India and the University of Aizu, Japan. The enthusiastic response to this event prompted the decision to make the BDA conference as an annual event. Except in 2016, the conference is being held every year.
The conference on Big Data Analytics invites original, technically sound, high-quality research papers proposing novel solutions addressing the problems related to big data analytics as well as case studies and practical experiences with big data.
BDA 2020 will include keynotes, invited talks, tutorials, workshops, panel discussions and research papers.
All past BDA proceedings have been published by Springer’s LNCS series. We have also received approval for the proceedings of BDA 2020 to be published in Springer’s LNCS series. Authors of selected papers will be invited to submit extended versions of their work to IJCSE Journal.
The 8th International Conference on Big Data Analytics (BDA 2020) will be held during December 15-18, 2020 at Ashoka University, India. The conference will be organized by Ashoka University. BDA 2020 provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends.
BDA 2020 invites original, technically sound, high-quality research papers proposing novel solutions addressing the problems related to big data analytics as well as case studies and practical experiences with big data. Major topics of interest to the conference include, but are not limited to:
Publication:
All past BDA proceedings have been published by Springer’s LNCS series. We have also received approval for the proceedings of BDA 2020 to be published in Springer’s LNCS series. Authors of selected papers will be invited to submit extended versions of their work to IJCSE Journal.
Research track submissions
Each paper should contain an abstract of approximately 300 words having a page limit of 20 pages in the LNCS style. Thesubmissions including the title page, references and appendix. For preparing the manuscript, please see instructions for authors by Springer, in the Lecture Notes in Computer Science series (LNCS) http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
LaTeX and Word Templates & Submission Guidelines
At least one author of each paper must be registered for the conference in order for the paper to be published in theproceedings. Presentation of an accepted paper at the conference is a requirement of publication. Any paper that is notpresented at the conference will not be included in Springer LNCS series.
Easychair Submission link:
https://easychair.org/my/conference?conf=bda2020
Full paper submissions: August 3, 2020, 23:59 PST
Research Paper Notifications: September 30, 2020, 23:59 PST
Camera-ready submission: October 15, 2020, 23:59 PST
Contact
Ladjel Bellatreche ENSMA, France bellatreche@ensma.fr
Hamido Fujita Iwate Prefectural University, Japan hfujita-799@acm.org
Vikram Goyal IIIT Delhi, India vikram@iiitd.ac.in
The BDA 2020 Organizing Committee invites proposals for half-day and full-day workshops on established and emerging topics in the area of Big Data Analytics and related areas. The goal of BDA 2020 workshops is to provide a forum for researchers and practitioners from academia and industry in the related domains to share novel ideas, research challenges and issues, and innovative next-generation applications in any topic related to Big Data Analytics with the intent of stimulating interesting research in this area.
Proposals can be in any established or emerging domain related to Big Data Analytics and related areas. Proposals are welcome in the interdisciplinary areas such as Big Data or Data Science based problems and research challenges & opportunities in domains including (but not limited to) agriculture, education, open distance learning, transportation, smart cities, skills development, climate change, bioinformatics, environmental management, finance and healthcare.
The conference will provide all the necessary facilities for organizing the workshops such as presentation rooms. Workshop chairs will autonomously organize the workshops including the workshop program committee selection, review processes and paper acceptance/rejection and publication.
Workshop proposals should be of maximum three pages and contain the following information: Title of the workshop, Objectives and Scope, Target audience and expected number of attendees, Names, email addresses and webpages of the prospective workshop organizers, A list of Program Committee members (tentative), A preliminary workshop format (either half-day or full-day).
Important Date(s)
Submission Deadline: June 23, 2020, 23:59 PST
Notification Date: July 1, 2020, 23:59 PST
Workshop Chairs
Sanjay Chaudhary, Ahmedabad University, India Vasudha Bhatnagar, University of Delhi, India Satish Narayana Srirama, University of Tartu, Estonia
For any queries and clarifications regarding the tutorial, please send an email to sanjay.chaudhary@ahduni.edu.in, vbhatnagar@cs.du.ac.in and satish.srirama@ut.ee
Shri Dorilal Agarwal National Meritorious Scholarship 2018 for the Specially Challenged Students.
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