BigR&I 2017 - 4th International Symposium on Big Data Research and Innovation (BigR&I-2017)

The 4th International Symposium on Big Data Research and Innovation (BigR&I-2017)
Prague, Czech Republic, August 21-23, 2017
Vienna House Diplomat Prague
Conference website: https://bigri2017-mephi.rhcloud.com/
Submission link: https://easychair.org/conferences/?conf=bigri2017
Submission deadline: April 30, 2017
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The goal of the BigR&I 2017, co-located with the 5th International Conference on Future Internet of Things and Cloud (FiCloud 2017), is to provide an international forum for exchanging ideas and information from both Academia and Industry on current issues, challenges, research results, system developments, industrial use cases and practical experiences in the promising field of Big Data. This emerging research field recently draws much attention and interest in computer science and information technology as well as in social sciences and other disciplines.
Submission Guidelines: Papers should not exceed 6 pages in length (including all figures, tables and references), using the IEEE 8.5″ x 11″ two-column format, 10pt font, single space. IEEE Computer Society Proceedings Author Guidelines are available at https://www.ieee.org/conferences_events/conference....
All papers should be in PDF format and submitted electronically at https://easychair.org/conferences/?conf=bigri2017.
Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered.
Submissions will be evaluated according to the relevance and originality of the work and to their ability to generate discussions between the participants of the workshop. Authors may contact the Program Chair for further information or clarification.
The topics of interest for BigR&I include (but are not limited to):
? Techniques and models, algorithms and systems for Big Data
? Machine learning, Data Mining and Artificial Intelgence for Big Data and Data Science
? NoSQL, NewSQL, Graph and new Databases for Big Data
? Verification, Validation and Testing Big Data applications
? Transaction properties and models for Big Data systems(ACID, CAP, BASE, etc)
? Web search and information retrieval
? Bioinformatics, multimedia and unstructured data management
? Big Data analytics and Social Media
? Parallel and distributed computing for Big Data
? Hardware/software infrastructure for Big Data
? Security and privacy for Big Data
? Ethical issues in Big Data
? Cloud, IoT and Big Data
? Big data and smart computing Applications (health care, medicine, finance, business, law, education, transportation, telecommunication, science, engineering, ecosystem, etc.)
General Chair: Dr. Natalia Miloslavskaya (National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Russia)
Program Committee
Dr. Muhammad Younas (Oxford Brookes University, UK)
Dr. Rubén Casado Tejedor (Accenture Digital, Spain)
Dr. Sergey Stupnikov (Institute of Informatics Problems, Federal Research Center “Computer Science and Control“ of the Russian Academy of Sciences, Russia)
Prof. Anna Guseva (NRNU MEPhI, Russia)
Prof. Sergey Zapechnikov (NRNU MEPhI, Russia)
Dr. Khalil Drira (LAAS-CNRS, France)
Dr. Mohamed Anis Bach Tobji (ESEN - University of Manouba, Tunisia)
Dr. Kyriakos Kritikos (Institute of Computer Science, Foundation for Research and Technology, Greece)
Dr. Attila Kertesz (University of Szeged, Hungary)
To be completed
Publication
Papers selected for presentation will appear in the FiCloud Proceedings, which will be published by the IEEE Conference Publishing Services (CPS) and will be submitted to the IEEE-Xplore and the IEEE Computer Society Digital Libraries (CSDL) after their oral presentation at the conference. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services.
Venue: Vienna House Diplomat Prague (Evropska 370/15, 16041 Prague 6-Dejvice), which is one of the largest hotels in Prague. It is surrounded mainly by diplomatic residences and is close to the Prague castle and the City Centre. It is also conveniently located from the Prague Vaclav Havel Airport.
Contact: All questions about submissions should be emailed to Dr. Natalia Miloslavskaya: NGMiloslavskaya-AT-mephi.ru.