Grzebala, Pawel. M.S.C.E. Department of Computer Science and Engineering, Wright State University, 2016. Private Record Linkage: A Comparison of Selected Techniques for Name Matching. The rise of Big Data Analytics has shown the utility of analyzing all aspects of a problem by bringing together disparate data sets. Efficient and accurate private record linkage algorithms are necessary to achiev...

The role of data resources in today's business environment is multi-faceted. Primarily, they support the operational needs of an organization or a company. Secondarily, they can be used for decision support and management. The quality of the data, used to support the operational needs, is usually below the quality required for decision support and management. Recent advances in information syst...

We consider the problem of duplicate detection: given a large data set in which each entry has multiple attributes, detect which distinct entries refer to the same real world entity. Our method consists of three main steps: creating a similarity score between entries, grouping entries together into ‘unique entities’, and refining the groups. We compare various methods for creating similarity sc...

OBJECTIVES To develop and test an optimal ensemble configuration of two complementary probabilistic data matching techniques namely Fellegi-Sunter (FS) and Jaro-Wrinkler (JW) with the goal of improving record matching accuracy. METHODS Experiments and comparative analyses were carried out to compare matching performance amongst the ensemble configurations combining FS and JW against the two t...

We introduce ClueMaker, the first language designed specifically for approximate record matching. Clues written in ClueMaker predict whether two records denote the same thing based on the values of the records’ attributes. For example, a clue may predict match if the records have identical values for the first name attribute. The values of the clues can then be used as input to a machine-learni...

Record linkage is the process of matching records across data sets that refer to the same entity. One issue within record linkage is determining which record pairs to consider, since a detailed comparison between all of the records is impractical. Blocking addresses this issue by generating candidate matches as a preprocessing step for record linkage. For example, in a person matching problem, ...

Record linkage, or computer matching, is needed for the creation and maintenance of name and address lists that support operations for and evaluations of a Year 2000 Census. This paper describes three advances. The first is an enhanced method of string comparison for dealing with typographical variations and scanning errors. It improves upon string comparators in computer science. The second is...

Data quality improvement is becoming an increasingly important issue. In contexts where data are replicated among different sources, data quality improvement is possible through extensive data comparisons: whereas copies of same data are different because of data errors, comparisons help to reconcile such copies. Best quality copies can be selected or constructed in order to correct other copie...

Data quality improvement is becoming an increasingly important issue. In contexts where data are replicated among different sources, data quality improvement is possible through extensive data comparisons: whereas copies of same data are different because of data errors, comparisons help to reconcile such copies. Record matching algorithms can support the task of linking different copies of the...

This paper provides an overview of methods and systems developed for record linkage. Modern record linkage begins with the pioneering work of Newcombe and is especially based on the formal mathematical model of Fellegi and Sunter. In their seminal work, Fellegi and Sunter introduced many powerful ideas for estimating record linkage parameters and other ideas that still influence record linkage ...