Second data mining workshop brings together a spectrum of researchers

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On Friday, April 22, 2011, well over 100 researchers from across the University of Michigan and from industry gathered at CSE for the highly-anticipated second Workshop on Data, Text, Web, and Social Network Mining.

Organized by Assoc. Prof. Dragomir Radev, Asst. Prof. Michael J. Cafarella, and graduate Student Vahed Qazvinian, and sponsored by Yahoo!, Computer Science and Engineering, and the School of Information, the workshop brought together researchers currently using data mining or interested in the use of data mining to make connections and set the agenda for research in the next 10 years and beyond.

The agenda for the workshop (link to PDF) included 10 presentations, 3 tutorials, a poster session, and a keynote speech by Sharad Goel, Senior Research Scientist at Yahoo! Research, providing enormous opportunity for attendees to get broad visibility into a range of data mining research issues and activities.

A broad range of units from across U-M participated in the workshop, including units from the College of Engineering and several domain units in the natural sciences, medical sciences, social sciences, and humanities. External attendees were in attendance from Yahoo!, Ford Motor Company, the Michigan Department of Human Services, Kalamazoo College, the University of Nottingham, and a number of consulting and software development firms.

Some of the presentations from the workshop can be viewed in these videos (MP4 format):

Qiaozhu Mei, School of Information, University of Michigan: “Towards the Next Generation of Search Engines for Electronic Health Records”

Yongqun “Oliver” He, Microbiology and Immunology, University of Michigan Medical School: “Ontology-Based Literature Mining”

Péter Érdi, Center for Complex Systems Studies, Kalamazoo College: “Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network”

Matthew O’Donnell, English Language Institute, University of Michigan: “VACNET: Extracting and Analyzing Non-Trivial Linguistic Structures at Scale”

Jungkap Park, Mechanical Engineering, University of Michigan: “Text and Image-Based Recognition and Extraction of Molecular Information from Figures and Figure Captions”

Raj Rao Nadakuditi, Electrical Engineering and Computer Science, University of Michigan: “New Twists on Eigen-Analysis (or Spectral) Learning”

Abe Gong, Gerald R. Ford School of Public Policy, University of Michigan: “An Automated Snowball Census of the Political Web”

Dragomir Radev, Professor in Computer Science and Engineering and the School Information, welcomes attendees to the morning session (click to enlarge).


Attendees filled the large lecture hall in the CSE Building to hear presentations and participate in tutorials (click to enlarge).


Participants engaged in lively discussion at the over 20 posters on display at the poster session (click to enlarge).