MapReduce Based Personalized Locality Sensitive Hashing for Similarity Joins on Large Scale Data

Locality Sensitive Hashing (LSH) has been proposed as an efficient technique for similarity joins for high dimensional data. The efficiency and approximation rate of LSH depend on the number of generated false positive instances and false negative instances. In many domains, reducing the number of f...

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Detalles Bibliográficos
Autores principales: Wang, Jingjing, Lin, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431368/
https://www.ncbi.nlm.nih.gov/pubmed/26089861
http://dx.doi.org/10.1155/2015/217216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431368/
https://www.ncbi.nlm.nih.gov/pubmed/26089861
http://dx.doi.org/10.1155/2015/217216

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