Christen, P. (2014). Data Matching Concepts and Techniques for Record Linkage. Entity Resolution, and Duplicate Detection. Berlin: Springer Berlin.
Eram, A., Mohammed, A.G., Pillai, V. & Talburt, J.R. (2017). Comparing the Effectiveness of Deterministic Matching with Probabilistic Matching for Entity Resolution of Student Enrollment Records. MIT International Conference on Information Quality, Little Rock, AR, Oct 6-7.
Fellegi, I. P., & Sunter, A. B. (1969). A Theory for Record Linkage. Journal of the American Statistical Association, 64(328), 1183-1210.
Kobayashi, F., Eram, A., & Talburt, J. (2018). Comparing the Performance of Logistic Regression Classification to Rule-Based Entity Resolution. 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). DOI: 10.1109/mipr.2018.00033.
Talburt, J. R., Zhou, Y., & Shivaiah, S. Y. (2009). SOG: A synthetic occupancy generator to support entity resolution instruction and research. 2009 International Conference on Information Quality, Potsdam, Germany, pp. 91-105.
Talburt, J.R. & Zhou, Y. (2015). Entity information life cycle for Big Data: Master data management and information integration. Elsevier. Waltham, MA.
Zhang, J., Bheemavaram, R., & Li, W. N. (2009). Transitive Closure of Data Records: Application and Computation. Data Engineering International Series in Operations Research & Management Science. DOI: 10.1007/978-1-4419-0176-7_3.
Zhou, Y., & Talburt, J. R. (2011). Entity identity information management (EIIM). MIT International Conference on Information Quality, 237-341.