Professor Dr. Jennifer Neville

Biography

Professor Jennifer L. Neville focuses on data mining and machine learning techniques applied to relational data. Her research encompasses relational domains such as social network analysis, citation analysis, epidemiology, fraud detection, and web analytics. She is particularly interested in the development and analysis of relational learning algorithms and their applications to real-world tasks. Professor Neville emphasizes the importance of exploiting connections between entities to improve both descriptive and predictive models. Since joining the Department of Computer Science at Purdue University in Fall 2006, she has made significant contributions to advancing the understanding of how relational data mining techniques can move beyond conventional analysis to analyze networks of interconnected entities. Her selected publications reflect her expertise in ensemble classification and active learning within relational frameworks, underscoring her commitment to enhancing classification models through innovative methodologies.

Research Interests