Abstract
Record linkage is a well studied problem [1] with many years of publication history. Nevertheless, there are many challenges remaining to be addressed, such as the topic addressed by FEIII Challenge 2016 . 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: FFIEC, LEI and SEC. We were able to achieve an f-measure of 93.78% in the first task, which is comparable to the maximum 97.44%, and 70.44% for the second task, where the maximum is 88.38%.
Type
Publication
In Proceedings of the Second International Workshop on Data Science for Macro-Modeling 2016
Ioannis Koumarelas
PhD graduate in Data Cleaning
My research interests include Data Cleaning, Artificial Intelligence, and Machine Learning.