Workshops

Workshops

11th INFORMS Workshop on Data Mining & Decision Analytics (DMDA)

November 12, 2016 Nashville, TN

The Data Mining, Analytics, Artificial Intelligence, Quality, Statistics & Reliability, Multi-Criteria Decision Making Sections of INFORMS, and Health Applications Society of INFORMS are organizing the 2016 INFORMS Workshop on Data Mining and Decision Analytics on November 12, 2016 in Nashville, TN in conjunction with the 2016 INFORMS Annual Conference. Please see the related Informs webpage:

http://meetings2.informs.org/wordpress/nashville2016/data-mining-decision-analytics/ 

Timeline:

August 8: maximum of 15-page papers due
(Please send full papers to Ellen.tralongo@informs.org or ramin@miami.edu)
August 25: First round of review decisions sent out
September 10: Revised papers due
October 1: Second round of review decisions sent out
October 10: Final paper due
November 12: Workshop

Registration Fees

All participants should pay the full amount of the regular Informs Conference Registration fee and additionally below listed fee to participate at this workshop. These below listed fees include full-day meal courses (breakfast, lunch) for the day of November 12. Only the registered participants (both to the Informs Conference and to the DMDA Workshop itself) would be eligible to present, participate, and audit the event.

Students:  $75.00 per student

Non-Students:  $150.00 per non-student

Highlights of the DMDA Workshop

Best Paper Presentation Contest

Authors of all papers which are accepted after a rigorous two-round review process AND after an in-person presentation at the workshop would be eligible for this contest. The contest is focused on coherence between the content of the paper as well as the presentation. It will be judged by a panel of DMDA Workshop co-chairs and session chairs on any topic related to data mining & decision analytics. In addition to a name-engraved plaque, following monetary awards would be presented to the winners:
1st place: $300; 2nd place: $200; 3rd place: $100

Publication opportunity at the special issue:

Participants of this workshop are encouraged to submit their extended and enriched manuscripts to the special issue of Data Mining & Decision Analytics at the Decision Sciences journal. For more information, contact the special issue guest editor Dr. Asil Oztekin at Asil_Oztekin@uml.edu

Editors' Panel: How to publish in top-tier journals?

Top-tier premier outlets of the leading journals in the field of data mining and decision analytics would be represented by their respective editors. After a short presentation of the editors (5 minutes each), there will be a Q&A session, in which the audience would have chance to ask questions to the editors. The following list of editors (and the corresponding journals they would represent in alphabetical order) will be participating at this panel:

  • Annals of Operations Research-Dr. Endre Boros
  • Decision Sciences-Dr. Cheri Speier-Pero
  • Decision Support Systems-Dr. James Marsden
  • European Journal of Operational Research-Dr. Roman Slowinski
  • Information Systems Frontiers-Dr. Ram Ramesh
  • INFORMS Journal on Computing-Dr. David Woodruff
  • Journal of the Association of Information Science & Technology-Dr. Javed Mostafa
  • Journal of Multi-Criteria Decision Analysis-Dr. Gilberto Montibeller
  • Manufacturing & Service Operations Management-Dr. Brian Tomlin
  • Omega: the International Journal of Management Science-Dr. Ben Lev
  • Production & Operations Management-Dr. Subodha Kumar

Keynote Speakers of the DMDA Workshop:

Dr. Amit Basu is the Carr P. Collins Chair of Management Information Sciences at the Edwin L. Cox School of Business at Southern Methodist University where he serves as the Chairman of the Information Technology and Operations Management department. His research and teaching interests are in the areas of decision support systems, knowledge and data base systems, and ecommerce. He has published papers on these topics in a variety of top-tier outlets such as Management Science, Information Systems Research, Decision Support Systems, European Journal of Operational Research, Journal of Management Information Systems, and Omega. He has served on the editorial boards of several leading academic journals – he has been the Area Editor for INFORMS Journal on Computing, and Associate Editor for Management Science, Information Systems Research, the Information Technology and Management Journal, and an Editorial Board Member for the POMS Journal. From 2012-2013, he served as the President of the INFORMS Information Systems Society.

Dr. David L. Olson is the James & H.K. Stuart Professor in MIS and Chancellor's Professor at the University of Nebraska.  He has published research in over 150 refereed journal articles, primarily on the topic of data mining, multi-objective decision making, and information technology. Additionally, he has co-authored the books Advanced Data Mining Techniques, Introduction to Business Data Mining, Enterprise Risk Management, Enterprise Information Systems, Enterprise Risk Management Models, and Financial Enterprise Risk Management. He has served as associate editor of Decision Support Systems, Decision Sciences, and Service Business, and co-editor in chief of International Journal of Services Sciences. He was a Lowry Mays endowed Professor at Texas A&M University from 1999 to 2001.  He was named the Raymond E. Miles Distinguished Scholar award for 2002, and was a James C. and Rhonda Seacrest Fellow from 2005 to 2006. He is a Fellow of the Decision Sciences Institute.

Dr. Nick Street received a Ph.D. in Computer Sciences from the University of Wisconsin-Madison in 1994.  He is currently professor, departmental executive officer, and Henry B. Tippie Research Professor in the Management Sciences Department at the University of Iowa, with joint appointments in the Computer Science Department, the College of Nursing, and the Interdisciplinary Graduate Program in Informatics. He is also the director of the interdisciplinary graduate program in Health Informatics. His research interests are in algorithmic approaches to machine learning and data mining, particularly the use of mathematical optimization in inductive learning techniques.  His recent work has focused on ensemble construction methods, knowledge transfer, correlation analysis, statistical relational learning, personalized medical decision making, and social network analysis.  He has published over 110 journal, conference and workshop papers, and has received an NSF CAREER award and an NIH INRSA postdoctoral fellowship. He is a member of INFORMS, IEEE, ACM, AAAI, and AMIA.

Dr. Olivia Sheng is Presidential Professor and Emma Eccles Jones Presidential Chair of Information Systems at the David Eccles School of Business, and an Adjunct Professor at School of Computing, University of Utah. She also directs the Global Knowledge Management Center to seek research and education extension of business intelligence and analytics, and organizes one of the first academic conferences on business intelligence annually. Her research focuses on web, text, and data mining as well as optimization techniques for clickstream analysis, social network analysis, search marketing, crowd-based predictive analytics, behavior targeting, bio-medical, digital government, telemedicine and telework applications. Her research has received funding from U.S. Food and Drug Administration, National Science Foundation, Overstock, Yahoo!, U.S. Army, IBM Tivoli, Toshiba Corp., Sun Microsystems, SAP University Alliance, and Wasatch Advisors. Currently, she engages companies in Utah such as Backcountry and Intermountain Healthcare Company to collaborate on research and capstone projects related to text mining and data mining.

Papers should follow the below listed guidelines:

  • Maximum of 15 pages (including all-abstract, references, tables, and figures)
  • 11-point font with one-inch margins on four sides
  • Double-spaced

For inquiries, please contact Workshop co-Chairs:

Cem Iyigun (Middle East Technical University, Department of Industrial Engineering): Iyigun@metu.edu.tr

Ramin Moghaddess (University of Miami, Department of Industrial Engineering): Ramin@miami.edu

Asil Oztekin (University of Massachusetts Lowell, Department of Operations & Information Systems): Asil_Oztekin@uml.edu 

The final schedule is below: