Daniel L. Pullen

According to our database, Daniel L. Pullen authored at least 10 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Data Profiling in Support of Entity Resolution of Multi-Institutional EHR Data.

Pei Wang, Daniel L. Pullen, Maryam Y. Garza, Anita Walden, Meredith N. Zozus

Proceedings of the Improving Usability, Safety and Patient Outcomes with Health Information Technology, 2019

Evaluating and Improving Data Fusion Accuracy.

John R. Talburt, Daniel L. Pullen, Melody L. Penning

Proceedings of the Information Quality in Information Fusion and Decision Making, 2019

2017

The Challenges of, and Why You Should Reconsider Using, Truth Sets for Optimizing Entity Resolution: A Case Study.

Pei Wang, Daniel L. Pullen, Maryam Y. Garza, Meredith N. Zozus

Proceedings of the 22nd International Conference on Information Quality, 2017

Comparison of Pre-and Post-Resolution Blocking Strategies for Entity Resolution in a Distributed Computing Environment.

Pei Wang, Daniel L. Pullen, John R. Talburt

Proceedings of the 23rd Americas Conference on Information Systems, 2017

2016

A Case Study on Data Quality, Privacy, and Evaluating the Outcome of Entity Resolution Processes.

Pei Wang, Daniel L. Pullen, Fan Liu, William C. Decker, Ningning Wu, John R. Talburt

Int. J. Organ. Collect. Intell., 2016

2015

A visualization system to support clerical review, correction, and confirmation assertions in entity identity information management.

Cheng Chen, Daniel L. Pullen, John R. Talburt

Proceedings of the 20th International Conference on Information Quality, 2015

Methodology for Large-Scale Entity Resolution without Pairwise Matching.

Cheng Chen, Daniel L. Pullen, Reed H. Petty, John R. Talburt

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records.

Pei Wang, Daniel L. Pullen, John R. Talburt, Ningning Wu

Proceedings of the 11th International Conference on Information Technology: New Generations, 2014

Iterative Approach to Weight Calculation in Probabilistic Entity Resolution.

Pei Wang, Daniel L. Pullen, John R. Talburt, Ningning Wu

Proceedings of the 19th International Conference on Information Quality, 2014

2013

A false positive review indicator for entity resolution systems using Boolean rules.

Daniel L. Pullen, Pei Wang, John R. Talburt, Ningning Wu

Proceedings of the 18th International Conference on Information Quality, 2013