RSSCE: A SAM-Based MapReduce Framework for Mining Uncertain Big Data in Cloud Environments

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 Internet Protocol Technology
Published
2025-11-23
DOI
https://doi.org/10.1504/ijipt.2026.10074763
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

RSSCE: A SAM-Based MapReduce Framework for Mining Uncertain Big Data in Cloud Environments

Qinlu He, Jing Zhang, Huiguo Dong
International Journal of Internet Protocol Technology
Cloud Computing and Resource Management
article

RSSCE: A SAM-Based MapReduce Framework for Mining Uncertain Big Data in Cloud Environments

Qinlu He, Jing Zhang, Huiguo Dong
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 Internet Protocol TechnologyVol. 19(2)
Openalex Percentile: Top 51%
Cloud Computing and Resource Management
DOISourceOpenAlex
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RSSCE: A SAM-Based MapReduce Framework for Mining Uncertain Big Data in Cloud Environments — Qinlu He, Jing Zhang, et al. · International Journal of Internet Protocol Technology (2025) | TGRS Research Map | TGRS