Education:
BS, Computer Science
University of Massachusetts Amherst (2000)
MS, Computer Science
University of Massachusetts Amherst (2004)
PhD, Computer Science
University of Massachusetts Amherst (2006)
Professor Neville's research focuses on data mining and machine learning techniques for relational
data. In relational domains such as social network analysis, 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.
Selected Publications
H. Eldardiry and J. Neville, "Across-Model Collective Ensemble Classification", Proceedings of
the 25th Conference on Artificial Intelligence (AAAI), 2011.
A. Kuwadekar and J. Neville, "Relational Active Learning for Joint Collective Classification Models",
Proceedings of the 28th International Conference on Machine Learning (ICML), 2011.
R. Xiang and J. Neville, "Relational Learning with One Network: An Asymptotic Analysis",
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics
(AISTAT), 2011.
Research Funding
Cristina Nita-Rotaru and Jennifer Neville, Toward Intrusion Tolerant Clouds, John Hopkins
University, 11/7/2011-11/16/2012.
Jennifer Neville, Career: Machine Learning Methods to Support Computational Social Science,
National Science Foundation, 1/1/2012-12/31/2016.
Jennifer Neville, Stacey Connaughton, and James Tyler, Machine Learning Techniques to Model the
Impact of Relational Communication on Distributed Team Effectiveness, National Science
Foundation, 9/1/2008-8/31/2012.
Ramana Kompella, CISCO, Community Foundation Silicon Valley, 2/7/2011.
Ramana Kompella, NETSE: Small: Towards Better Modeling of Communication Activity Dynamics in
Large-Scale Online Social Networks, National Science Foundation, 9/1/2010-8/31/2013.
Vishwanathan Swaminathan, Sergey Kirshner, and Jennifer Neville, RI: Small: Algorithms for
Sampling Similar Graphs Using Subgraph Signatures, National Science Foundation,
9/1/2009-8/31/2012.
William Cleveland, Jennifer Neville, and Bowei Xi, Stochastic Control of Multi-Scale Networks:
Modeling, Analysis, and Algorithms, Army Research Office, 5/29/2008-11/28/2012.
Wojciech Szpankowski, Ruben Aguilar, Mikhail J. Atallah, Christopher Clifton, Supriyo Datta, Ananth
Y. Grama, Suresh Jagannathan, Jennifer Neville, Yuan Qi, and Doraiswami Ramkrishna, Emerging
Frontiers of Science of Information, National Science Foundation, 8/1/2010-7/31/2015.
