| Betreff: | [AISWorld] Conference on Data Science Submission System now Open |
|---|---|
| Datum: | Thu, 27 Apr 2017 02:57:06 +0000 |
| Von: | Zheng, Zhiqiang <ericz@utdallas.edu> |
| An: | 'aisworld@lists.aisnet.org' <aisworld@lists.aisnet.org> |
The submission system of the first Conference on Data Science is now open at http://2017.dsconf.org/submission-guidelines/. You are cordially invited to submit a paper. The Conference on Data Science is a pre-conference of the annual INFORMS meeting and is to be held on October 21, 2017 in Houston, Texas. The CFP is available at http://2017.dsconf.org/wp-content/uploads/sites/18/2017/01/INFORMS-Conference-on-Data-Science-CFP-1.pdf . Conference on Data Science is a premier research conference dedicated to developing novel data science theories, algorithms, and methods to solve challenging and practical problems that benefit business and society at large. The conference invites innovative data science research contributions that address business and societal challenges from the lens of statistical learning, data mining, machine learning, and artificial intelligence. The conference invites original research addressing challenges ranging from marketing and finance problems to problems in health care, energy, cybersecurity, fraud detection, social network services, talent analytics, privacy, credibility, etc. Contributions on novel methods may be motivated by insightful observations on the shortcomings of state-of-the art data science methods in addressing practical challenges, or may propose entirely novel data science problems. Research contributions on theoretical and methodological foundations of data science, su ch as optimization for machine learning and new algorithms for data mining, are also welcome. Research contributions may include: * Novel predictive modeling approaches * Novel performance measures of data science methods that account for important * practical implications * Data science methods for health care: chronic disease management, preventative care, etc. * Prediction of rare events and anomaly detection * Methods for induction and inference with missing values * Data science for industrial applications: energy, education, finance, supply chain, ecommerce, etc. * Data-driven methods for effective risk management * Data-driven methods for cyber security * Data acquisition, integration, cleaning, and best practices * Visualization analytics for business data * Novel methods for social network analysis * Mobile analytics * Large-scale recommendation systems and social media systems * Novel methods for text analytics and natural language processing * Experiences with big data project deployments * Deep learning and AI business applications Important Dates: Paper submission Open: April 10th, 2017 Paper submission Deadline: June 20th, 2017 Notification of Acceptance: August 20th, 2017 We look forward to receiving your paper submissions, and to seeing you at the conference! Information to authors: * Maximum of 15 pages (excluding abstract, references, tables and figures), printable on * 8.5 x 11-inch paper * 12-point font with one-inch margins on four sides * Double-spaced * Indicate on the front cover whether the bulk of the work was done by a student * Blind submissions are encouraged but not required Organizing Committee: Honorary Chairs Olivia Sheng, University of Utah Alexander S. Tuzhilin, New York University Conference Chairs Xiao Fang, University of Delaware Hui Xiong, Rutgers University Zhiqiang (Eric) Zheng, University of Texas at Dallas Program Chairs Ahmed Abbasi, University of Virginia Weiguo (Patrick) Fan, Virginia Tech Maytal Saar-Tsechansky, University of Texas, Austin Publicity Chairs Leman Akoglu, Carnegie Mellon University Shawn Mankad, Cornell University Paul Pavlou, Temple University Nachiketa Sahoo, Boston University Qiang Ye, Harbin Institute of Technology, China Kang Zhao, University of Iowa Web Chair Harry Wang, University of Delaware Finance Chair Alan Wang, Virginia Tech Best Regards, Eric Zheng Professor of Information Systems Jindal School of Management University of Texas at Dallas Richardson, TX 75080 _______________________________________________ AISWorld mailing list AISWorld@lists.aisnet.org