Title
Samuel D. Conte Professor of Computer Science; Miller Family Professor of Computer Science & Professor of Statistics
Office Phone
(765) 496-9387
Education
BS, Computer Science, 2000
University of Massachusetts Amherst
MS, Computer Science, 2004
University of Massachusetts Amherst
PhD, Computer Science, 2006
University of Massachusetts Amherst
Research Areas
Professor Neville's research focuses on data mining and machine learning techniques for relational
data. In relational domains such as bioinformatics, citation analysis, epidemiology, fraud detection,
and web analytics, there is often limited information about any one entity in isolation, instead it
is the connections among entities that are of crucial importance to pattern discovery. Relational
data mining techniques move beyond the conventional analysis of entities in isolation to analyze
networks of interconnected entities, exploiting the connections among entities to improve both
descriptive and predictive models. Professor Neville's research interests lie in the development and
analysis of relational learning algorithms and the application of those algorithms to real-world
tasks.
Notable Awards
PC chair for the SIAM International Conference on Data Mining in 2019
She was PC chair of the 9th ACM International Conference on Web Search and Data in 2016
In 2012, she was awarded an NSF Career Award
2008 she was chosen by IEEE as one of "AI's 10 to watch"
2007 was selected as a member of the DARPA Computer Science Study Group.
Publications
Neville, J. and D. Jensen, "Relational Dependency Networks", Journal of Machine Learning
Research, to appear 2006.
Neville, J. and D. Jensen, "Leveraging Relational Autocorrelation with Latent Group Models",
Proceedings of the Fifth IEEE International Conference on Data Mining (2005), pp 322-329.
Neville, J., O. Simsek, D. Jensen, J. Komoroske, K. Palmer and H. Goldberg, "Using Relational
Knowledge Discovery to Prevent Securities Fraud", Proceedings of the 11th ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (2005), pp 449-458.
Biography
Jennifer Neville is the Miller Family Chair Professor of Computer Science and Statistics at Purdue University. She received her PhD from the University of Massachusetts Amherst in 2006. She is currently an elected member of the AAAI Executive Council. She was PC chair of the 9th ACM International Conference on Web Search and Data in 2016 and is PC chair for the SIAM International Conference on Data Mining in 2019. In 2012, she was awarded an NSF Career Award, in 2008 she was chosen by IEEE as one of "AI's 10 to watch", and in 2007 was selected as a member of the DARPA Computer Science Study Group. Her work, which includes over 100 peer-reviewed publications with more than 5000 citations, focuses on developing data mining and machine learning techniques for complex relational and network domains, including social, information, and physical networks.
