Title :
Probabilistic Matching Compared to Deterministic Matching for Student Enrollment Records
Author :
Pei Wang ; Pullen, Daniel ; Talburt, John R. ; Ningning Wu
Author_Institution :
Univ. of Arkansas at Little Rock, Little Rock, AR, USA
Abstract :
This paper compares entity resolution results obtained by using both probabilistic and deterministic matching when applied to the deduplication of student enrollment data. The approach outlined in this paper uses deterministic matching to represent equivalence for the calculation of weights to be used in probabilistic matching based on the Fellegi-Sunter model.
Keywords :
educational administrative data processing; pattern matching; Fellegi-Sunter model; deterministic matching; entity resolution results; probabilistic matching; student enrollment data; student enrollment records; Complexity theory; Educational institutions; Erbium; Error analysis; Knowledge engineering; Probabilistic logic; Rocks; Boolean Match Rules; Entity Resolution; Scoring Rule; Talburt-Wang Index;
Conference_Titel :
Information Technology: New Generations (ITNG), 2014 11th International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-3187-3
DOI :
10.1109/ITNG.2014.17
