@inproceedings{0dbd6f59809e4b06a8909fbe0de3cb6c,
title = "Shortest Path Edit Distance for detecting duplicate biological entities",
abstract = "This paper presents a novel and context-sensitive Shortest Path Edit Distance (SPED) applied to duplicate entity detection in biological data. SPED is an extension of Markov Random Field-based Edit Distance. It transforms the edit distance computational problem to the calculation of the shortest path among two selected vertices of a graph. The experimental results show that SPED produces competitive outcomes. Soft-SPED, the combination of SPED with TFIDF, achieves superior performance in most cases.",
keywords = "Algorithm, Biological entities, Duplicate detection, Edit distance",
author = "Alex Rudniy and Min Song and James Geller",
year = "2010",
doi = "10.1145/1854776.1854851",
language = "English (US)",
isbn = "9781450304382",
series = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010",
pages = "442--444",
booktitle = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010",
note = "2010 ACM International Conference on Bioinformatics and Computational Biology, ACM-BCB 2010 ; Conference date: 02-08-2010 Through 04-08-2010",
}