Skip navigation
Skip navigation

Efficient Interactive Training Selection for Large-Scale Entity Resolution

Wang, Qing (Ms); Vatsalan, Dinusha; Christen, Peter

Description

Entity resolution (ER) has wide-spread applications in many areas, including e-commerce, health-care, the social sciences, and crime and fraud detection. A crucial step in ER is the accurate classification of pairs of records into matches (assumed to refer to the same entity) and non-matches (assumed to refer to different entities). In most practical ER applications it is difficult and costly to obtain training data of high quality and enough size, which impedes the learning of an ER...[Show more]

CollectionsANU Research Publications
Date published: 2015
Type: Conference paper
URI: http://hdl.handle.net/1885/103765
Source: Efficient Interactive Training Selection for Large-Scale Entity Resolution
DOI: 10.1007/978-3-319-18032-8_44

Download

File Description SizeFormat Image
01_Wang_Efficient_Interactive_Training_2015.pdf470.69 kBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  20 July 2017/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator