基本信息
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Bio
I was born in Florida, but grew up in Lynchburg, Virginia. I moved to Michigan while in high school, and, there, having nothing better to do, began to concentrate seriously on my studies. In school I found my two great loves were mathematics and literature.
I applied to MIT, and was astonished to be accepted. There I dabbled in Math, Physics, Literature, History, Economics, without really being sure what I wanted to do. After my junior year I stumbled upon a summer job at General Motors doing expert system development. I enjoyed that experience so much I decided to get my degree in "Math with computer science" (I was actually the first recipient of this degree in the newly created course 18C in 1986).
GM gave me a fellowship to continue my studies at the University of Texas in Machine Learning. After getting my Masters, U of T offered me a teaching fellowship to continue on for my Ph.D., but instead I preferred to get started with real life.
I went to work full time at the GM Tech Center in Warren, MI. There I designed knowledge based systems and built some of the earliest data mining applications to diagnose automotive faults. I worked with the late Dr. Tom Lorenzen, a truly amazing person and statistician who taught me everything useful I know about how to get the greatest possible insight out of real world data. I also worked with Dr. Sam Uthurusamy who helped me early on to see the great potential of data mining and of the internet.
During my stay at GM I met my wife, Karon Barber, and won GM Kettering award in 1992 for the Design of Experiments Expert System (DEXPERT). Karon also won this award 3 years later for a Gear Design Expert System, making us the only married couple ever to win this prestigious honor.
I left GM for IBM in San Jose, CA in 1996 to work in a Web Mining group headed by Evangelous Simoudis. There I worked with Dharmendra Modha to develop some novel data visualization techniques that are used to help understand the results of kmeans clustering.
In 1998, after Evangelous left, I joined IBM Reserach, and began working on Text Mining of help desk problem tickets under Norm Pass. This work gradually expanded into many other areas and applications dealing with mining all kinds of unstructured information. I believe this work has turned out to be my true calling, combining my love of math, reading, and knowledge based systems, along with my love of solving complex problems.
Research Interests
Papers共 22 篇Author StatisticsCo-AuthorSimilar Experts
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Kevin S Chen, Krystal Menezes,Jarlath B Rodgers,Darren M O'Hara, Nhat Tran,Kazuko Fujisawa, Seiya Ishikura,Shahin Khodaei,Hien Chau, Anna Cranston,Minesh Kapadia,Grishma Pawar,
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Data Mining and Knowledge Discoveryno. 4 (2015): 976-998
mag(2014)
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KDD '12: The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Beijing
China
August, 2012pp.21-25, (2012)
CIKM'12: 21st ACM International Conference on Information and Knowledge Management
Maui
Hawaii
USA
October, 2012pp.2603-2606, (2012)
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Author Statistics
#Papers: 22
#Citation: 413
H-Index: 11
G-Index: 20
Sociability: 5
Diversity: 0
Activity: 0
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