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Hay, M., D. Jensen, G. Miklau, D. Towsley, and P. Weis (2008). Resisting Structural Re-identification in Anonymized Social Networks. University of Massachusetts Amherst, Technical Report 08-12. [PDF]
Neville, J., and D. Jensen (2007). Bias-Variance Analysis for Relational Domains. Proceedings of the 17th International Conference on Inductive Logic Programming. [PDF]
Neville, J., and D. Jensen (2007). Relational Dependency Networks. Journal of Machine Learning Research. 8(Mar): 653-692. [PDF]
Rattigan, M., M. Maier and D. Jensen (2007). Graph clustering with network structure indices. Proceedings of the 24th International Conference on Machine Learning. [PDF]
Friedland, L. and D. Jensen (2007). Finding tribes: Identifying close-knit individuals from employment patterns. In The Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining, pp. 290-299. (Also appears as University of Massachusetts Amherst, Technical Report 07-25.) [PDF]
Rattigan, M., M. Maier and D. Jensen (2007). Exploiting network structure for active inference in
collective classification. University of Massachusetts Amherst, Technical Report 07-22. [PDF]
Hay, M., A. Fast and D. Jensen (2007). Understanding the effects of search constraints on structure learning. University of Massachusetts Amherst, Technical Report 07-21. [PDF]
Fast, A., L. Friedland, M. Maier, B. Taylor, D. Jensen, H. Goldberg and J. Komoroske (2007). Relational data pre-processing techniques
for improved securities fraud detection. In The Proceedings of the 13th International Conference on Knowledge Discovery and Data Mining, pp. 941-949. (Also appears as University of Massachusetts Amherst, Technical Report 07-20.) [PDF]
Hay, M., G. Miklau, D. Jensen, P. Weis, and S. Srivastava (2007). Anonymizing social networks. University of Massachusetts Amherst, Technical Report 07-19. [PDF].
Fast, A., and D. Jensen (2006). The NFL coaching network: analysis of the social network among professional football coaches. AAAI Fall Symposium on Capturing and Using Patterns for Evidence Detection. [PDF]
Rattigan, M., M. Maier, and D. Jensen (2006). Using structure indices for efficient approximation of network properties. Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Fast, A., D. Jensen, B. N. Levine (2005). Creating social networks to improve peer-to-peer networking. Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Gallagher, B., D. Jensen, and B. n. Levine (2004). Explaining routing performance in disruption tolerant networks. University of Massachusetts Amherst, Technical Report 05-57. [PDF]
Neville, J. and D. Jensen (2005). Leveraging relational autocorrelation with latent group models. Proceedings of the 5th IEEE International Conference on Data Mining. [PDF]
Neville, J. and D. Jensen (2005). Leveraging relational autocorrelation with latent group models. Proceedings of the 4th Multi-Relational Data Mining Workshop, 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Neville, J., Ö. Şimşek, D. Jensen, J. Komoroske, K. Palmer and H. Goldberg (2005). Using relational knowledge discovery to prevent securities fraud. Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Rattigan, M. and D. Jensen (2005). The case for anomalous link detection. Proceedings of the 4th Multi-Relational Data Mining Workshop, 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Rattigan, M. and D. Jensen (2005). The case for anomalous link discovery. SIGKDD Explorations: The Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining. 7(2). [PDF]
Şimşek, Ö. and D. Jensen (2005). Decentralized search in networks using homophily and degree disparity. Proceedings of the 19th International Joint Conference on Artificial Intelligence. [PDF]
Jensen, D., J. Neville and B. Gallagher (2004). Why collective inference improves relational classification. Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Neville, J., M. Adler and D. Jensen (2004). Spectral clustering with links and attributes. University of Massachusetts Amherst, Technical Report 04-42. [PDF]
Neville, J. and D. Jensen (2004). Dependency networks for relational data. Proceedings of The 4th IEEE International Conference on Data Mining. [PDF]
Neville, J., Ö. Şimşek and D. Jensen (2004). Autocorrelation and relational learning: challenges and opportunities. Proceedings of the Workshop on Statistical Relational Learning, 21st International Conference on Machine Learning. [PDF]
Wellner, B., A. McCallum, F. Peng, M. Hay (2004). An integrated, conditional model of information extraction and coreference with application to citation matching. Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence. [PDF]
Blau, H. and A. McGovern (2003). Categorizing unsupervised relational learning algorithms. Proceedings of the Workshop on Learning Statistical Models from Relational Data, 18th International Joint Conference on Artificial Intelligence. [PDF]
Jensen, D., J. Neville and M. Hay (2003). Avoiding bias when aggregating relational data with degree disparity. Proceedings of the 20th International Conference on Machine Learning. [PDF]
Jensen, D., J. Neville and M. Rattigan (2003). Randomization tests for relational learning. University of Massachusetts Amherst, Technical Report 03-05. [PDF]
Jensen, D., M. Rattigan and H. Blau (2003). Information awareness: a prospective technical assessment. Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
McGovern, A. and D. Jensen (2003). Identifying predictive structures in relational data using multiple instance learning. Proceedings of the 20th International Conference on Machine Learning. [PDF]
McGovern, A., L. Friedland, M. Hay, B. Gallagher, A. Fast, J. Neville and D. Jensen (2003). Exploiting relational structure to understand publication patterns in high-energy physics. Winning entry: KDD Cup 2003 Open Task, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Neville, J., M. Adler and D. Jensen (2003). Clustering relational data using attribute and link information. Proceedings of the Text Mining and Link Analysis Workshop, 18th International Joint Conference on Artificial Intelligence. [PDF]
Neville, J., D. Jensen, L. Friedland and M. Hay (2003). Learning relational probability trees. Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Neville, J., D. Jensen and B. Gallagher (2003). Simple estimators for relational Bayesian classifiers. Proceedings of The 3rd IEEE International Conference on Data Mining. (Also appeared as University of Massachusetts Amherst, Technical Report 03-04). [PDF]
Neville, J. and D. Jensen (2003). Collective classification with relational dependency networks. Proceedings of the 2nd Multi-Relational Data Mining Workshop, 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Neville, J., M. Rattigan and D. Jensen (2003). Statistical relational learning: Four claims and a survey. Proceedings of the Workshop on Learning Statistical Models from Relational Data, 18th International Joint Conference on Artificial Intelligence. [PDF]
Blau, H., N. Immerman and D. Jensen (2002). A visual language for querying and updating graphs. University of Massachusetts Amherst Computer Science Technical Report 2002-037. [PDF]
For information on QGraph language updates and implementation in Proximity, see the Proximity QGraph Guide.
Jensen, D. and J. Neville (2002). Autocorrelation and linkage cause bias in evaluation of relational learners. Proceedings of the 12th International Conference on Inductive Logic Programming. [PDF]
Jensen, D. and J. Neville (2002). Linkage and autocorrelation cause feature selection bias in relational learning. Proceedings of the 19th International Conference on Machine Learning. [PDF]
Jensen, D. and J. Neville (2002). Schemas and models. Proceedings of the Multi-Relational Data Mining Workshop, 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. [PDF]
Jensen, D. and J. Neville (2002). Data mining in social networks. National Academy of Sciences Symposium on Dynamic Social Network Analysis. [PDF]
Neville, J. and D. Jensen (2002). Supporting relational knowledge discovery: lessons in architecture and algorithm design. Proceedings of the Data Mining Lessons Learned Workshop, 19th International Conference on Machine Learning. [PDF]
Jensen, D. and J. Neville (2001). Correlation and sampling in relational data mining. Proceedings of the 33rd Symposium on the Interface of Computing Science and Statistics. [PDF]
Neville, J. and D. Jensen (2000). Iterative classification in relational data. In L. Getoor and D. Jensen (Eds.). Papers of the AAAI-2000 Workshop on Learning Statistical Models from Relational Data. AAAI Press. [PDF]
For other papers published prior to the creation of KDL in 2001,
please see the web pages of individual lab members.
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