A false positive review indicator for entity resolution systems using Boolean rules. - Daniel L. Pullen; Pei Wang 001; John R. Talburt; Ningning Wu (ICIQ, 2013)

Iterative Approach to Weight Calculation in Probabilistic Entity Resolution. - Pei Wang 001; Daniel L. Pullen; John R. Talburt; Ningning Wu (ICIQ, 2014)

Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records. - Pei Wang 001; Daniel L. Pullen; John R. Talburt; Ningning Wu (ITNG, 2014)

Methodology for Large-Scale Entity Resolution without Pairwise Matching. - Cheng Chen 001; Daniel L. Pullen; Reed H. Petty; John R. Talburt (ICDM Workshops, 2015)

A visualization system to support clerical review, correction, and confirmation assertions in entity identity information management. - Cheng Chen 001; Daniel L. Pullen; John R. Talburt (ICIQ, 2015)

A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes. - Pei Wang 001; Daniel L. Pullen; Fan Liu; William C. Decker; Ningning Wu; John R. Talburt (Int. J. Organ. Collect. Intell., 2016)

Comparison of Pre-and Post-Resolution Blocking Strategies for Entity Resolution in a Distributed Computing Environment. - Pei Wang 001; Daniel L. Pullen; John R. Talburt (AMCIS, 2017)

The Challenges of, and Why You Should Reconsider Using, Truth Sets for Optimizing Entity Resolution: A Case Study. - Pei Wang 001; Daniel L. Pullen; Maryam Y. Garza; Meredith N. Zozus (ICIQ, 2017)

Evaluating and Improving Data Fusion Accuracy. - John R. Talburt; Daniel L. Pullen; Melody L. Penning (Information Quality in Information Fusion and Decision Making, 2019)

Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data. - Pei Wang 001; Daniel L. Pullen; Maryam Y. Garza; Anita Walden; Meredith N. Zozus (ITCH, 2019)