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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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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4431368/ https://ncbi.nlm.nih.gov/pubmed/26089861 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/217216 |
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