Fourth annual data mining workshop brings together close to 200 researchers

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On Wednesday, April 24, 2013, close to 200 researchers from across the University of Michigan and from industry gathered in the Bob and Betty Beyster Building on North Campus for the fourth U-M Workshop on Data Mining.

Organized by Profs. Michael Cafarella and Dragomir Radev and sponsored by Yahoo!, Computer Science and Engineering, and the Office of Research Cyberinfrastructure, the workshop brought together researchers currently using data mining or interested in the use of data mining to make connections and share experiences and results.

The workshop included 12 presentations and concluded with a keynote by Scott Gaffney, Director, Knowledge and User Engagement Science, Yahoo! Labs, entitled “Personalization at Scale.”

A range of units from across U-M participated in the workshop, including units from the College of Engineering, several domain units in the natural sciences, medical sciences, social sciences, and humanities, and U-M Dearborn. External entities registered for the workshop included Yahoo!, Ford Motor Company, Wayne State University, Michigan State University, and University of Wisconsin – Madison.

Presentations from the workshop can be browsed below, and are listed in the order presented.

Emily Mower Provost – Computer Science and Engineering
Using Emotional Noise to Uncloud Audio-Visual Emotion Perceptual Evaluation

Avishay Livne – Computer Science and Engineering, School of Information
Predicting Impact in Academia

Honglak Lee – Computer Science and Engineering
Learning and Selecting Features Jointly with Pointwise Gated Boltzmann Machines

Perry Samson, Atmospheric, Oceanic and Space Sciences
Mining My Students’ Notes to Create Study Guides

Anna Gilbert, Mathematics
Streaming and Sketching Big Data

Ashutosh Nandeshwar, Office of University Development
Three Big Problems in Fundraising and How to Solve Them With Data Science

Zhe Zhao, Computer Science and Engineering, School of Information
Questions about Questions: An Empirical Analysis of Information Needs on Twitter

Brock Palen, Office of Research Cyberinfrastructure
National Resources for Big Data Exploration

Jian Tang, School of Information
“Look, Mum, No Hands!” A Parameter-Free Topic Model

Ambuj Tewari, Statistics
Foundations of Learning to Rank

Matthew Burgess, Computer Science and Engineering
Leveraging Noisy Lists for Social Feed Ranking

Jason Owen-Smith, Sociology
Data Mining in the Sociology of Science and Organizations

Keynote: Scott Gaffney, Director, Knowledge and User Engagement Science, Yahoo! Labs
Personalization at Scale