UM
The Comparative Analysis of Smith-Waterman Algorithm with Jaro-Winkler Algorithm for the Detection of Duplicate Health Related Records
Agbehadji, Israel Edem; Yang, Hongji; Fong, Simon; Millham, Richard; IEEE
2018
Conference Name2018 INTERNATIONAL CONFERENCE ON ADVANCES IN BIG DATA, COMPUTING AND DATA COMMUNICATION SYSTEMS (ICABCD)
Publication Place345 E 47TH ST, NEW YORK, NY 10017 USA
PublisherIEEE
AbstractDuplicate detection is a process of identifying a pair of words that refers to the same real-word object. Generally, words consist of letters that have a syntax representation. In most cases, words, such as names, are incorrectly spelt during data entry and that creates duplicate data and if it is unresolved could lead to inc onsistency of data. Fundamental algorithms that are applied in th e design of duplicate detection systems includes Smith-Waterman and Jaro-Winkler algorithms. The study compares and analyses t he application of Smith-Waterman algorithm and Jaro-Winkler a lgorithm to find duplicate words in large dataset such as health d ataset. The basis for comparison is to find how accurate these algo rithms are in detecting duplicate words in large health dataset. T he contribution of this paper is the use of transitive and symmetry property on both Smith-Waterman and Jaro-Winkler algorithm when large dataset is involved in the duplicate detection processes
KeywordSmith-Waterman algorithm Jaro-Winkler algorith m duplicate detection similarity measure tokenization
URLView the original
Indexed ByCPCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Telecommunications
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Telecommunications
WOS IDWOS:000446104500068
The Source to ArticleWOS
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Document TypeConference paper
CollectionUniversity of Macau
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GB/T 7714
Agbehadji, Israel Edem,Yang, Hongji,Fong, Simon,et al. The Comparative Analysis of Smith-Waterman Algorithm with Jaro-Winkler Algorithm for the Detection of Duplicate Health Related Records[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018.
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