Big Data 2014 : International Workshop on Big Data Analytics for Predictive Organization and Big Transformations
Call For Papers
International Workshop on Big Data Analytics for Predictive Organization and Big Transformations
Stanford University, CA, USA, May 27, 2014.
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.
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
Tuesday, May 27, 2014
7.30 am Registration and Poster Set-up starts Venue: TBD
8.30 am to 10.00 am
Key Note address title:Knowledge Mining Massive Online Open Courseware(MOOC)Data
Dr. Una-May O'Reilly,
Principal Research Scientist
AnyScale Learning For All (ALFA) Group, Leader
Massachusetts Institute of Technology (MIT)
Computer Science and
Artificial Intelligence Laboratory
Cambridge, MA, USA
Key Note address title:Big Data challenges in the biosciences 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 Technical Sessions 1: On areas 1, 2 and 3 Venue, Session Chairs: TBD
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
Pravin Chopade, Justin Zhan
ILAB (http://www.ilabsite.org/), North Carolina A&T State University, Greensboro, NC-27411, USA,
Bharati Vidyapeeth University COE, Pune, India.
Program committee chairs
• Jalal Mapar, U.S. DHS S&T Directorate, Washington, DC, USA
• Joseph P. Campbell, MIT Lincoln Laboratory, MA, USA
• Rajeev Agrawal, North Carolina A&T State University, NC, Greensboro, USA
• Regina Barzilay, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
• Anand Bhalerao, Bharati Vidyapeeth University College of Engineering, Pune, India
• 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.
• Vinaya Kelkar, North Carolina A&T State University, Greensboro, NC, USA
• Jure Leskovec, Stanford University, CA, 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
• Robert Renzoni, U.S. Public Sector, Quantum, Potomac Falls, VA, USA
• Carol Romanowski, Rochester Institute of Technology, Rochester, NY, USA
• Sharad Sharma, Bowie State University, Bowie, MD, USA
• Junichi Toyouchi, Japan Science and Technology Agency, Tokyo, Japan
• Rong Zhao, CEWIT, Stony Brook University, New York, USA