Workshop 1

International Workshop on Big Data Analytics for Predictive Organization and Big Transformations

Workshop Program

Goals: Connect scientist and practitioners focused on improving the predictiveness of organizations or on leading organizations through major transformations. Introduce them to application of big data science that applies to these challenge areas. Provide a medium to begin a collaboration to apply big data solutions.

Date: Tuesday, May 27, 2014.

Venue: Tresidder Memorial Union, Stanford University, 459, Lagunita Drive, Stanford, CA, 94305, USA

The workshop welcomes contributions in the area of large scale/big data analytics

1. Big data foundation

  • Fundamentals of learning from big data.
  • Relationship between ‘small data’ and big data.
  • Social media analysis, including sentiment analysis.

2. Big data handling, simulation, visualization, modeling tools, and algorithms

  • Tools and techniques for analyzing big data.
  • Practical machine learning tools for big data.

3. Big data business implications – Data culture

  • Cultural analytics.
  • Big data in heritage.
  • Privacy in the big data era.
  • Cyber-infrastructures for the humanities.
  • Big data security analytics and security intelligence.

4. Big data mining

  • Agent mining, multi-agent systems.
  • Agent based modeling.
  • Big data intelligence and predictive analytics.

5. Managing big data

  • Managing large-scale big data platforms.
  • Accommodating new demands on network infrastructure.
  • Developing and implementing IT governance for big data.
  • Integrating the big data platform with the rest of the IT infrastructure.

6. Transforming business using big data

  • Practical applications of big data.
  • Use of big data technologies for science.
  • Applications: DHS, Web, Social networks, Smart Grid, Advertising, Bio-data, Industrial data.

The paper/poster selection and publication process:

To participate in this workshop, authors must submit full paper that will be reviewed for relevancy to this workshop. All final paper drafts will be peer reviewed for acceptance/rejection as either a poster presentation or an oral presentation at this workshop. Accepted papers will be published by ASE@360 Open Scientific Digital Library as conference proceedings.

Prepare your manuscripts with the following double column conference paper styles (MS Word Template | Latex Template |Poster Template) not more than 10 pages in PDF file.

Important dates:

Full paper submission due: April 1, 2014
Acceptance/Rejection and notification as either a poster or an oral presentation due: April 30, 2014
Final camera-ready paper due: May 7, 2014
(Submission Time limit: 11:59 pm Pacific Standard Time)

Abstract/Paper submission system: Online Submission

Workshop Registration: Online Registration

Workshop agenda:

Tuesday, May 27, 2014
7.30 am Registration and Poster Set-up starts Venue: TBD
8.30 am to 10.00 am Keynote Speech Title:Knowledge Mining Massive Online Open Courseware(MOOC)Data Dr. Kalyan Veeramachaneni
Research Scientist and Leader
AnyScale Learning For All (ALFA) Group,
Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory, Cambridge, MA, USA
Keynote Speech title:Big Data challenges in the bio-sciences and DNA sequencing applications for DHS
Dr. Srinivas Aluru
Professor, School of Computational Science and Engineering
College of Computing, Georgia Institute of Technology, GA, USA
10.30 am to 12 noon Invited Talk Dr. Gabriela Ciocarlie
Computer Scientist
SRI International
Menlo Park, CA, USA

12 noon to 1. 30 pm Lunch break
1.30 pm to 3.30 pm Technical Sessions 2: On areas 4, 5 and 6 Venue, Session Chairs: TBD

3.30 pm to 4 pm Coffee break
4 pm to 6.00 pm Poster Sessions: 2×3 size poster, 5-minutes to present poster, discussion, networking. (Participants can bring demos.) Venue, Poster Session Chairs: TBD

Organizing committee

Primary contact

Pravin Chopade, Justin Zhan
ILAB
North Carolina A&T State University, Greensboro, NC-27411, USA,
Email: [email protected]

Program committee chairs

  • Jalal Mapar, U.S. DHS S&T Directorate, Washington, DC, USA
  • Una-May O’Reilly, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA

Program committee

  • Rajeev Agrawal, North Carolina A&T State University, NC, Greensboro, USA
  • Marwan Bikdash, North Carolina A&T State University, Greensboro, NC, USA
  • Gabriela F. Ciocarlie, SRI International, Menlo Park, California, USA
  • Andrew Collins, Old Dominion University, Suffolk, VA, USA
  • Robert M. Connors, Raytheon, Tewksbury, Massachusetts, USA
  • Kenneth Crowther, MITRE Corporation, McLean, VA, USA
  • Dukka KC, North Carolina A&T State University, Greensboro, NC, USA
  • Vinaya Kelkar, North Carolina A&T State University, Greensboro, NC, USA
  • Kishore Mane, intiGrow, Duluth, GA, USA
  • George Markowsky, The University of MAINE, Orono, ME, USA
  • Nader Mehravari, Carnegie Mellon University, Pittsburgh, PA, USA
  • Christie Nelson, CCICADA, Rutgers University, Piscataway, New Jersey, USA
  • William M. Pottenger, CCICADA, DHS S&T, Rutgers University, & Intuidex, Inc, USA
  • Rajendra Raj, Rochester Institute of Technology, Rochester, NY, USA
  • Carol Romanowski, Rochester Institute of Technology, Rochester, NY, USA
  • Sharad Sharma, Bowie State University, Bowie, MD, USA

Organizers: