Third Annual Data Mining Workshop Brings Together 100+ Researchers

On Wednesday, April 18, 2012, over 100 researchers from across the University of Michigan and from industry gathered on North Campus for the third U-M Workshop on Data Mining.

Organized by Prof. Michael Cafarella 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 agenda for the workshop (link to PDF) included 12 presentations and was followed by a CSE Distinguished Lecture by Michael Jordan of University of California Berkeley, entitled “Statistics and Computation in the Age of Massive Data.”

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!, Compendia Bioscience, Ford Motor Company, Wayne State University, Michigan State University, and Dow Chemical Company.

Presentations from the workshop can be browsed below:

Qiaozhu Mei, School of Information
“I Loan Because…” – Understanding Motivations for Pro-Social Lending

H.V. Jagadish, CSE
The Big Data Analysis Pipeline

Long Nguyen, Statistics
Connecting the Dots: Learning Functional Clusters from Non-Functional Data

Heather Carlson, Chemistry and Medicinal Chemistry
Insights into Protein-Ligand Binding

Alexander van Esbroeck, CSE
Learning Topics from Physiological Time Series

Jungkap Park, Mechanical Engineering
Mining of Chemical Information in Journal Articles

Brock Palen
Flux: A Flexible Campus Resource for HPC

Stephen Smith, Ecology and Evolutionary Biology
The Use and Abuse of Huge Phylogenetic Trees

Jacob Goldsmith, Mechanical Engineering and CSE
Identification of Metal Organic Frameworks in the CSD: A Structural Search Strategy

Abe Gong, Political Science
A Political Civil-o-meter: Crowdsourced and Automated Measurement of Constructive Discourse in Political Speech

Amjad Abu-Jbara, CSE
Mining Multiple Viewpoints from Online Discussions