SDSAM: a service-oriented approach for descriptive statistical analysis of multidimensional spatio-temporal big data

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Grid and Utility Computing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijguc.2025.10072049
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

SDSAM: a service-oriented approach for descriptive statistical analysis of multidimensional spatio-temporal big data

Li Han, Weilong Ding, Jie Zhou, Zhuofeng Zhao
International Journal of Grid and Utility Computing
Data Mining Algorithms and Applications
article

SDSAM: a service-oriented approach for descriptive statistical analysis of multidimensional spatio-temporal big data

Li Han, Weilong Ding, Jie Zhou, Zhuofeng Zhao
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Grid and Utility ComputingVol. 16(4)
Openalex Percentile: Top 79%
Data Mining Algorithms and Applications
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SDSAM: a service-oriented approach for descriptive statistical analysis of multidimensional spatio-temporal big data — Li Han, Weilong Ding, et al. · International Journal of Grid and Utility Computing (2025) | TGRS Research Map | TGRS