MDedup: Duplicate Detection with Matching Dependencies
Our system uses automatically discovered MDs, dataset features, and known gold standards to train a model that selects MDs as duplicate detection rules.
Towards Progressive Search-driven Entity Resolution
We introduce SearchER, a method for progressively performing search-driven Entity Resolution on user-indicated entities defined by keyword queries.
Alberto Pietrangelo
Combination of Rule-based and Textual Similarity Approaches to Match Financial Entities
Matching financial entities (FEs) is important for many private and governmental organizations. In this paper we describe the problem of matching such FEs across three datasets: …
Ahmad Samiei
Binary Theta-Joins using MapReduce: Efficiency Analysis and Improvements
Note Click the Cite button above to enable visitors to import publication metadata into their reference management software.