Our research goals are two-fold:
- To develop new kinds of algorithms for analyzing large amounts of data from both traditional (retail transactions, Web) as well as emerging sources (enterprise data, sensors, multimedia feeds, and other forms of unstructured data).
- To invent new applications that are enabled by the ability to learn from and take business actions based on this data.
Conference & Workshop Activities
Here are some of the workshops and events that Labs researchers are organizing in the area of Machine Learning and Data Mining.
Workshop on "Data Mining for Business Applications"
August 20, 2006, Philadelphia, PA. The 12th ACM International Conference on Knowledge Discovery & Data Mining (KDD 2006)
Rayid Ghani, Co-organizer
Workshop on Pervasive Technology Applied: Real World Experiences with RFID and Sensor Networks
May 7, 2006, Dublin, Ireland. The 4th International Conference on Pervasive Computing (Pervasive 2006)
Anatole Gershman, Co-Organizer
Workshop on "Learning from Partially Labeled Data"
August 7, 2005, Bonn, Germany. The 22th International Conference on Machine Learning (ICML 2005).
Rayid Ghani, Co-organizer
"Multimedia Data Mining" Workshop
August 21-24, 2004, Seatttle, WA. The 10th ACM International Conference on Knowledge Discovery & Data Mining (KDD 2004)
Valery Petrushin, Co-organizer
Workshop on "The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining"
August 21-24, 2003, Washington D.C.
The 20th International Conference on Machine Learning (ICML 2003).
Rayid Ghani, Co-organizer
"Operational Text Classification" (OTC-2003) Workshop
August 27, 2003, Washington D.C.
held with the 9th ACM International Conference on Knowledge Discovery & Data Mining (KDD 2003)
Rayid Ghani, Co-organizer
"Multimedia Data Mining" Workshop
August 24-27, 2003, Washington, D.C.
The 9th ACM International Conference on Knowledge Discovery & Data Mining (KDD 2003) in Washington, DC.
Valery Petrushin, Co-organizer
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