FAB 2020 Call for Papers

Big Data is an emerging research trend in many disciplines. The Big Data research includes challenges like analysis, capture, curation, search, sharing, storage, transfer, visualization, and privacy violations. The trend to larger data sets equates to additional information that could be derived from analysis of a single large set of related data, as well as comparing and correlating information from more than one datasets that allow correlations to be found to spot business trends, prevent diseases, combat crime, customer behaviour patterns and many more. To build and enable infrastructures to handle and process Big Data may need to focus on velocity, variety, volume, variability, veracity and complexity of large-scale datasets.

Accepted and presented papers will be included in ASONAM 2020 Conference Proceedings and forwarded for inclusion in IEEE Computer Society Digital Library (CSDL), IEEE Xplore and the ACM Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. The proceedings will be also covered by several other indexes, including DBLP, SCOPUS, etc.

High-quality research papers accepted for publication in the conference proceedings will be invited to submit an extended version for a book to be published in Springer's Lecture Notes in Social Networks (LNSN) series, subject to additional peer reviewing.

Topics may include but not limited to:

Big Data Foundations Big Data Applications Industrial Tools


Important Dates

Full paper submission deadline October 07, 2020 11:59 PM American Samoa Zone (UTC-11)
Notification of acceptance November 07, 2020
Camera-ready papers due November 14, 2020 11:59 PM American Samoa Zone (UTC-11)
Conference events December 07-10, 2020


Submission

We welcome all submissions reporting original and unpublished research written in English and pertaining to the topics mentioned in the Call For Paper page. Three categories of submissions will be accepted: full papers up to 8 pages, short communications up to 4 pages, and abstracts up to 2 pages, all in IEEE two-column format. Submissions should include the title, authors, affiliation, e-mail address, tel/fax numbers, abstract, and postal address on the first page. Papers should be submitted online using the symposium Online Submission System. Paper submission implies one of the authors must register and attend the symposium to present the paper. FAB 2020 participants will also enjoy free access to the full program of ASONAM 2020 and all the accompanying symposia and workshops.


Publication

Papers will be thoroughly reviewed by experts in the field and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Further, authors should certify that their submissions contain substantially new and previously unpublished research. Accepted and presented papers will be included in the FAB 2020 Conference Proceedings and forwarded for inclusion in IEEE Computer Society Digital Library (CSDL), IEEE Xplore and the ACM Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. The proceedings will be also covered by several other indexes, including DBLP, SCOPUS, etc. A selection of high-quality research papers from FAB 2020 will be invited to submit an extended version for an edited book in the Lecture Notes in Social Networks (LNSN) series published by Springer.


Organization

Steering Chair

Reda Alhajj, University of Calgary, Canada

General Chair

Necip CAMU┼×CU, Turkish Higher Education Council, Turkey

Program Chairs

Bulent Tavli, TOBB University of Science and Economy, Turkey

Program Committee

Rafael Tolosana-Calasanz, Universidad de Zaragoza
Carson Leung, University of Manitoba
Christoph Schommer, University of Luxembourg
Claudio Sartori, University of Bologna
Haopeng Chen, Shanghai Jiao Tong University
Fatma Betul Atalay, TOBB University of Economics and Technology
Carlos Henggeler Antunes, University of Coimbra
Kamen Kanev, Shizuoka University
Dana Petcu, West University of Timisoara
Brad Malin, Vanderbilt University
Paolo Garza, Politecnico di Torino
Bahman Javadi, Western Sydney University
Weifeng Liu, China University of Petroleum (East China)
Antonio Badia, University of Louisville
Abdullah Uz Tansel tansel@baruch.cuny.edu City University of New York
Aris Gkoulalas-Divanis, IBM Watson Health, Cambridge, MA
Aniruddha Bhattacharjya, Tsinghua University, Beijing
Xiang Zhao, National University of Defense Technology
Zbigniew Ras ras@uncc.edu UNC Charlotte
Chao-Tung Yang, Department of Computer Science, Tunghai University
Vana Kalogeraki, Athens University of Economics and Business

Program Coordinator

Salim Afra, University oof Calgary, Canada