Data Mining
Machine Learning

The University of Texas at Austin

IDEAL: Intelligent Data Exploration and Analysis Laboratory

Prof. Joydeep Ghosh, Director

We are primarily concerned with analyzing and mining complex data in various forms - including structured and semi-structured data, signal streams, images and videos - in order to characterize and understand the underlying phenomena and obtain actionable insights. Most of our approaches are based on statistical machine learning, data mining and AI techniques that are attuned to complex data and scalable computation. We address fundamental conceptual/algorithmic issues and also work on a wide variety of real-life applications.

News: Post-Doc Positions. As of 2/15, we have two post-doc positions open. Please see the Projects tab for details.

5 Papers accepted at AISTATS 2015. 3 of them are Oral presentations (6% acceptance rate)

Alumna Suju Rajan receives the Best Paper Award at RecSys14 for "Beyond Clicks: Dwell Time for Personalization"

Joyce Ho and Yubin Park are 2014 Code-a-Palooza Winners at Datapalooza 2014

Niyati Parameswaran receives the Anita Borg Scholarship, and is in the winning teams for Google Hackathon and IBM's Watson Got Talent , all in 2014.

Prof. Ghosh gives a keynote at ICDM 2013 "Predictive Healthcare Analytics under Privacy Constraints"

Prof. Ghosh is Conference Co-chair for SDM 2013

Dr. Koyejo and Prof. Ghosh receive the Amazon Best Student Paper Award at UAI 2013 for "Constrained Bayesian Inference for Low Rank Multitask Learning".

Prof. Ghosh is co-author of the Best Paper at ASPDAC 2012 "EPIC: Efficient Prediction of IC Manufacturing Hotspots with a Unified Meta-Classification Formulation"

Prof. Ghosh is Conference Co-Chair of SDM 2012, Anaheim, CA

IDEAL alumna Srujana Merugu receives the Best Paper Award at SDM11 for "Exploiting Coherence in Reviews for Discovering Latent Facets and Associated Sentiments"

Prof. Ghosh is Program Co-Chair of KDD 2011 (with Prof. Smyth of UC Irvine). KDD is the #1 Conference in Data Mining.

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