DIAL (Data, Inference Analysis, and Learning) - Nitesh Chawla's Research Group

News

April 2008: David Cieslak defends his Phd Proposal.

April 2008: Karsten Steinhaeuser is awarded a travel grant from the USMA to attend the International Workshop & Conference on Network Science (NetSci'08) in Norwich (UK), where he will present his work titled "Is Modularity the Answer to Evaluating Community Structure in Networks?"

March 2008: Paper titled "Scalable Learning with Thread-Level Parallelism" accepted at The 19th Midwest Artificial Intelligence and Cognitive Science Conference, 2008. Primary author is Karsten Steinhaeuser.

More News

About

We apologize for not all information of all our projects/publications available on the website. We will be updating it shortly. In the meantime, please email us at dial@nd.edu with any questions regarding our projects/papers.

Welcome to DIAL (Data, Inference Analysis, and Learning) -- Professor Nitesh Chawla's research group.

"Print, film, magnetic, and optical storage media produced about 5 exabytes of new information in 2002. Ninety-two percent of the new information was stored on magnetic media, mostly in hard disks. " ~Berkeley 2003

This data pervades every sector of human interest, medicine, biology, commerce, WWW, security, fraud, space research, and others, and within it are (potentially) useful information, patterns, associations, and even anomalies. Our main research focus is on the process of automatic discovery and synthesizing useful knowledge from large sets of data. This work taps into many frameworks from related fields such as data mining, machine learning, pattern recognition, databases, probability, statistics, information theory and visualization. Such a broad framework allows the application into a variety of real-world applications.

Our work ranges a diverse set of problems including class imbalance, data segmentation, bias detection, parallel data mining, graph mining and clustering, collaborative filtering, and biometrics.


	News April 2008: David Cieslak defends his Phd Proposal. April 2008: Karsten Steinhaeuser is awarded a travel grant from the USMA to attend the International Workshop & Conference on Network Science (NetSci'08) in Norwich (UK), where he will present his work titled "Is Modularity the Answer to Evaluating Community Structure in Networks?" March 2008: Paper titled "Scalable Learning with Thread-Level Parallelism" accepted at The 19th Midwest Artificial Intelligence and Cognitive Science Conference, 2008. Primary author is Karsten Steinhaeuser. More News About We apologize for not all information of all our projects/publications available on the website. We will be updating it shortly. In the meantime, please email us at dial@nd.edu with any questions regarding our projects/papers. Welcome to DIAL (Data, Inference Analysis, and Learning) -- Professor Nitesh Chawla's research group. "Print, film, magnetic, and optical storage media produced about 5 exabytes of new information in 2002. Ninety-two percent of the new information was stored on magnetic media, mostly in hard disks. " ~Berkeley 2003 This data pervades every sector of human interest, medicine, biology, commerce, WWW, security, fraud, space research, and others, and within it are (potentially) useful information, patterns, associations, and even anomalies. Our main research focus is on the process of automatic discovery and synthesizing useful knowledge from large sets of data. This work taps into many frameworks from related fields such as data mining, machine learning, pattern recognition, databases, probability, statistics, information theory and visualization. Such a broad framework allows the application into a variety of real-world applications. Our work ranges a diverse set of problems including class imbalance, data segmentation, bias detection, parallel data mining, graph mining and clustering, collaborative filtering, and biometrics.


	Copyright © 2007 DIAL (Data, Inference Analysis, and Learning) - Nitesh Chawla's Research Group. All rights reserved.