International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 182 - Number 1 |
Year of Publication: 2018 |
Authors: Sneha Ambhore, Shailvi Maurya |
10.5120/ijca2018917442 |
Sneha Ambhore, Shailvi Maurya . An Efficient Record Linkage Technique for Handling BIG DATA. International Journal of Computer Applications. 182, 1 ( Jul 2018), 56-58. DOI=10.5120/ijca2018917442
The word BIG DATA is nothing but huge amount of data generated through all the sources including social networking sites like facebook, twitter, Intstagram etc. this data sometimes may be repetitive that is same person can have record in more than one databases, whereas it is belonging to a single person so those records should be merged. Also sometimes a situation may occur where you need entire history of a person in this case record linkage will make it possible. Many Researches has been done for efficiently linking the records as record linking is becoming important day-by-day since it increases the quality of the data. In this research we are going to focus on algorithm for efficiently linking the records and keeping records secure. The software called FEBRL is used for comparing our algorithm efficiency with previously defined algorithms.