Articles in journals

• H. Sharara, L. Singh, L. Getoor and J. Mann. "Understanding actor loyalty to event-based groups in affiliation network." Social Network Analysis and Mining (2010).
• L. Singh and M. Sayal. "Privately detecting deviations in streaming, distributed time series data." Data and Knowledge Engineering 68.6 (2009): 509-530.
• R. Singh and L. Singh. "Blogs: emerging knowledge management tools for entrepreneurs to enhance marketing efforts." Journal of Internet Commerce 7.4 (2008): 1-15.
• M.B. Blake and L. Singh. "Software engineering for web services work ow systems." International Journal on Software Engineering and Knowledge Engineering 18.2 (2008): 157-178.
• M.B. Blake, L. Singh, A. Williams, W. Norman, and A. Sliva. "A Component-Based Data Management and Knowledge Discovery Framework for Aviation Studies." International Journal of Information Technology and Web Engineering 1.1 (2006): 74-88.

Articles in books

• L. Singh, E.J. Bienenstock and J. Mann. "What are we missing? Perspectives on social network analysis for observational scientic data." Handbook of Social Networks: Technologies and Applications. Ed. B. Furht. : Springer, 2010.
• L. Singh. "Challenges for dynamic, heterogeneous networks in observational sciences.." Next Generation of Data Mining. Ed. Hillol Kargupta. Florida: CRS Press, 2008: 395-414

Articles in conference proceedings

• P. Caravelli, M. Beard, B. Gopolan, L. Singh, Z. Hu. "Generating abstract networks using multi-relational biological data." Proceedings of Information Visualization. Barcelona, Spain: IEEE Computer Society, 2009.
• H. Sharara, L. Singh, L. Getoor and J. Mann. "The evolution of groups in aliation networks." Proceedings of the International Conference on Advances in Social Network Analysis and Mining. Athens, Greece: IEEE Computer Society, 2009.
• L. Singh, M. Beard, B. Gopalan, G. Nelson. "Structure-based hierarchical transformations for interactive visual exploration of social networks." Pacific Asian Conference on Knowledge Discovery and Data Mining (PAKDD). Ed. T. Washio. Osaka, Japan: Springer, 2008.
• L. Singh and M. Sayal. "Privacy preserving burst detection of distributed time series data using linear transforms." IEEE Symposium on Computational Intelligence and Data Mining. Honolulu, Hawaii: IEEE, 2007.
• L. Singh, M. Beard, L. Getoor, and M. Blake. "Visual mining of multi-modal social networks at different abstraction levels." IEEE Conference on Information Visualization. Zurich, Switzerland: IEEE Computer Society, 2007.
• L. Singh and J. Zhan. "Measuring topological anonymity in social networks.." IEEE International Conference on Granular Computing . San Jose, CA: IEEE, 2007.
• L. Singh, L. Getoor, and L. Licamele. "Pruning Social Networks Using Structural Properties and Descriptive Attributes." IEEE International Conference on Data Mining. Ed. Jaiwei Han, Benjamin Wah. Houston, Texas: IEEE, 2005.
• R. Singh, L. Singh, and M. Crump. "Blogs as Marketing Tools for Entrepreneurs: Trends, Implications, and Future Research Directions." UIC/AMA Symposium on Marketing and Entrepreneurship. Ed. G. Hills. San Francisco: American Marketing Association, 2005.

Other

• L. Singh and C. Schramm (2010) Identifying similar neighborhood structures in private social networks. Proceedings of the IEEE International Workshop on Private Aspects of Data Mining, Sydney, Australia..
• L. Singh. (2007). Exploring graph mining approaches for dynamic heterogeneous networks. National Science Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation, Baltimore, MD.
• M. Sayal, L. Singh. Detecting aggregate bursts from scaled bins within the context of privacy. IEEE ICDE Workshop on Privacy Data Management, Istanbul: April 2007 .
• L. Singh and L. Getoor (2007). Increasing the predictive power of affiliation networks. Data Engineering Bulletin, 30(2), pp. 41-50..
• H. Kang, L. Getoor, L. Singh. (2007). Visual analysis of dynamic group membership in temporal social networks. ACM SIGKDD Explorations, 9(2), pp. 13-21..
• L. Singh, G. Nelson, J. Mann, A. Coakes, E. Krzyszczyk, and E. Herman. "Data cleansing and transformation of observational scientific data." ACM SIGMOD Workshop on Information Quality in Information Systems. Chicago, Illinois: ACM, 2006.