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- W2375802095 abstract "In order to meet the demand for fast computing and retrieval of massive high-dimensional data,a high-level distributed framework for searches and computations on tree indexing structures based on map-reduce in the Hadoop environment are introduced,MRC-Tree for short.And then,two distributed KD-Tree index structures are proposed based on MRC-Tree framework,multiple KD-Trees by splitting data equally based on Map-Reduce,MKDTM for short,and one distributed KD-Tree based on Map-Reduce,OKDTM for short.Data segmentation,KD-Trees construction by parallel way,and concurrent retrieval can effectively improve the retrieval performance.Finally,the theoretical analysis and experimental results indicate that these methods are highly effective and extensible to the similarity search in high-dimensional data environment,and the OKDTM index structure performs better than the MKDTM method." @default.
- W2375802095 created "2016-06-24" @default.
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- W2375802095 date "2013-01-01" @default.
- W2375802095 modified "2023-09-23" @default.
- W2375802095 title "Large scale graph data index approach on cloud environments" @default.
- W2375802095 hasPublicationYear "2013" @default.
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