2. Conference‎ > ‎Symposia‎ > ‎

Symp 2- Big Data 2013

First International Symposium on Big Data and Data Analytics in Collaboration
(BDDAC 2013)

Call for Papers and Participation

As part of
The 2013 International Conference on Collaboration Technologies and Systems
(CTS 2013)

May 20-24, 2013

The Sheraton San Diego Hotel & Marina
San Diego, California, USA

In Cooperation with ACM, IEEE, and IFIP

Extended Submission Deadline: February 04, 2013

Submissions could be for full papers, short papers, poster papers, or posters


The challenge of “Big Data” continues to grow and is an active area of significant research.  “Big Data” is usually defined by its primary attributes of volume, velocity, variety and complexity, or some combination of these. The problem domains include scientific disciplines such as astronomy and biology, business disciplines such as marketing and security, law enforcement and even natural language processing as part, for example, of automated real time speech translation.  While social media, so pervasive nowadays, is one of the main contributors to vast amounts of Big Data around the world, several other diverse sources such as fixed and mobile sensors, secondary data generated by physical simulations, transactional records from high speed trading systems, and high volume business record analytics also constitute important areas of research. Creating effective applications and solutions that work for real world “Big Data” problems requires both, collaborative technology and multi-disciplinary teams.  These applications may leverage Big Data platforms, such as open source LexisNexis HPCC Systems and Hadoop platforms, or may involve novel approaches.

You are cordially invited to participate in, contribute to, and attend the International Symposium on Big Data and Data Analytics in Collaboration (BDDAC 2013) to be held as part of CTS 2013 (http://cts2013.cisedu.info/) May 20-24, 2013 in San Diego, California, USA.  The Symposium is to address, explore and exchange information on the state-of-the-art and practice in the broad multidisciplinary field of Big Data.  Participation is extended to researchers, designers, educators and interested parties in all disciplines and specialties (computer science, linguistics, psychology, statistics, sociology, multimedia and semantic web technologies, …).

The Symposium topics include (but are not limited to) the following:
This symposium solicits contributions that address contemporary and future challenges in big data and data analytics, particularly in collaboration systems, social networks, and information technologies.

    •    Theories and Methodologies for Big Data processing
    •    Architectures and Design of Big Data processing systems
    •    Computing languages applied to Big Data processing and analytics
    •    Qualitative and Quantitative Studies of high performance data intensive computing systems
    •    Machine Learning Methods applied to Big Data analytics
    •    Natural Language Processing methodologies
    •    Semantic Web analytics
    •    Data Modeling for Social Networks
    •    Discovery, Collection, and Extraction of information in Big Data sources
    •    Processing of Big Data Streaming
    •    Collaborative Filtering and Recommendation Systems
    •    Text Categorization; Topic Recognition
    •    Subjectivity in Textual Data; Sentiment Analysis; Polarity/Opinion Identification and Extraction
    •    Big Data Mining and Discovery
    •    Large-scale Social Image and Video Analysis and Retrieval
    •    Security and Risk in Big Data processing and analytics
    •    Privacy and Big Data analytics
    •    Trust, Reputation and Recommendation Systems
    •    Big Data Visualization
    •    Leveraging Big Data in the Enterprise
    •    Performance and Benchmarking for Big Data processing and analytics
    •    NoSQL systems and Big Data
    •    Distributed data-intensive computing systems
    •    Semantic content extraction and analytics languages and techniques
    •    Ontology representations and processing in Big Data

You are invited to submit original and unpublished research works on above and other topics related to Big Data and Data Analytics in Collaboration.  Submitted papers must not have been published or simultaneously submitted elsewhere. Submissions could be for full papers, short papers, poster papers, or posters (please specify).  Submission should include a cover page with authors' names, affiliation addresses, fax numbers, phone numbers, and email addresses.  Please, indicate clearly the corresponding author(s) and include up to 6 keywords from the above list of topics and an abstract of no more than 400 words.  The full manuscript should be at most 8 pages using the two-column IEEE format.  Additional pages are allowed but will be charged additional fee.   Short papers (up to 4 pages), poster papers and poster (please refer to  http://cts2013.cisedu.info/home/posters  for posters submission details)  will also be accepted.     Please include page numbers on all preliminary submissions to make it easier for reviewers to provide helpful comments. 

Submit a PDF copy of your full manuscript of regular or short paper via the Symposium submission Web page at  https://www.easychair.org/conferences/?conf=bddac2013

Each paper will receive a minimum of three reviews.  Papers will be selected based on their originality, relevance, contribution, technical clarity and presentation.  Submission implies the willingness of at least one of the authors to register and present the paper, if accepted.  Authors of accepted papers must guarantee that their papers will be registered and presented at the Symposium. 

Accepted papers will be published in the Conference proceedings.  Instructions for final manuscript format and requirements will be posted on the CTS 2013 Conference web site.  It is our intent to have the proceedings formally published in hard and soft copies and be available at the time of the conference.  The proceedings is projected to be included in the IEEE Digital Library and indexed in all major indexing services accordingly. 

If you have any questions about paper submission or the Symposium, please contact the Symposium organizers. 

Extended Paper Submission Deadline: ------------------ February 04, 2013
Acceptance Notification: -------------------------------------  February 21, 2013
Camera Ready Papers and Registration Due: --------- March 11, 2013     (extended)
Conference Dates:  --------------------------------------------- May 20 - 24, 2013


Flavio Villanustre
   VP, Infrastructure & Security
   LexisNexis Risk Solutions, Georgia, USA
   Email: Flavio.Villanustre@lexisnexis.com

Trish McCall
   HPCC Systems Program Manager
   LexisNexis Risk Solutions, Georgia, USA,
   Email: trish.mccall@lexisnexis.com

International Program Committee: 
All submitted papers will be reviewed by the Symposium technical program committee members following similar criteria used in CTS 2013. 
  • Gagan Agrawal, Ohio State University, Ohio, USA
  • David A. Bader, Georgia Institute of Technology and Emcien Corp., Georgia, USA
  • John Holt, LexisNexis, Ohio, USA
  • Peter Kogge, University of Notre Dame and EMU Solutions, Inc., Indiana, USA
  • Roy Marsten, Emcien Corp., Georgia, USA
  • Tony Middleton, LexisNexis, Florida, USA
  • Edin Muharemagic, LexisNexis, Florida, USA
  • Juergen Pfeffer, Carnegie Mellon University, Pennsylvania, USA
  • Mohammad Javad Rashti, RNET Technologies, Ohio, USA
  • Domenico Talia, University of Calabria, Italy
  • Nikolaos Vasiloglou, Ismion Inc., Georgia, USA

   (* Committee formation is pending and will be finalized shortly.)

For information or questions about Conference's paper submission, tutorials, posters, workshops, special sessions, exhibits, demos, panels and forums organization, doctoral colloquium, and any other information about the conference location, registration, paper formatting, etc., please consult the Conference’s web site at URL:  http://cts2013.cisedu.info/home   or contact one of the Conference's organizers or Co-Chairs: Geoffrey C. Fox at gcf@indiana.edu  and Waleed W. Smari at Smari@arys.org.