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A Method for Solving Approximate Partition Boundaries of Spatial Big Data Based on Histogram Bucket Sampling.

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Title: A Method for Solving Approximate Partition Boundaries of Spatial Big Data Based on Histogram Bucket Sampling.
Authors: Tian, Ruijie1 (AUTHOR) trj@dlmu.edu.cn, Chen, Tiansheng1 (AUTHOR) cts@dlmu.edu.cn, Zhai, Huawei1,2 (AUTHOR) teesiv@dlmu.edu.cn, Zhang, Weishi1,2 (AUTHOR) feiwang@dlmu.edu.cn, Wang, Fei1 (AUTHOR)
Source: Symmetry (20738994). May2022, Vol. 14 Issue 5, p1055-1055. 18p.
Database: Academic Search Ultimate
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  Data: A Method for Solving Approximate Partition Boundaries of Spatial Big Data Based on Histogram Bucket Sampling.
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  Data: <searchLink fieldCode="JN" term="%22Symmetry+%2820738994%29%22">Symmetry (20738994)</searchLink>. May2022, Vol. 14 Issue 5, p1055-1055. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157238887
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        Value: 10.3390/sym14051055
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      – Code: eng
        Text: English
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      – TitleFull: A Method for Solving Approximate Partition Boundaries of Spatial Big Data Based on Histogram Bucket Sampling.
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            NameFull: Chen, Tiansheng
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            NameFull: Zhai, Huawei
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            – D: 01
              M: 05
              Text: May2022
              Type: published
              Y: 2022
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