International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 123 | Views: 247

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 3, March 2014 | Popularity: 6.2 / 10


     

Fast and Accurate Incremental Entity Relationships

Rajeshkumar S, Geofrin Shirly S


Abstract: Entity resolution (ER) is the problem of identifying which records in a database refer to the same entity. This project investigates how we can maximize the progress of ER with a limited amount of work using hints, which give information on records that are likely to refer to the same real-world entity. This project introduces a family of techniques for constructing hints efficiently and techniques for using the hints to maximize the number of matching records identified using a limited amount of work. Using real data sets, this project illustrates the potential gains of our pay-as-you-go approach compared to running ER without using hints.


Keywords: Entity resolution, data cleaning


Edition: Volume 3 Issue 3, March 2014


Pages: 286 - 291



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Rajeshkumar S, Geofrin Shirly S, "Fast and Accurate Incremental Entity Relationships", International Journal of Science and Research (IJSR), Volume 3 Issue 3, March 2014, pp. 286-291, URL: https://www.ijsr.net/getabstract.php?paperid=20131118, DOI: https://www.doi.org/10.21275/20131118



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