Effective Information Extraction of Massive IoT Big Data based on Adaptive Spectral Clustering Algorithm

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
2025-01-01
DOI
https://doi.org/10.1504/ijipt.2025.10072668
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.00
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article

Effective Information Extraction of Massive IoT Big Data based on Adaptive Spectral Clustering Algorithm

Yu Lin, Shumin Zhi
International Journal of Internet Protocol Technology
E-commerce and Technology Innovations
article

Effective Information Extraction of Massive IoT Big Data based on Adaptive Spectral Clustering Algorithm

Yu Lin, Shumin Zhi
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. 18(3)
Openalex Percentile: Top 65%
E-commerce and Technology Innovations
DOISourceOpenAlex
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Effective Information Extraction of Massive IoT Big Data based on Adaptive Spectral Clustering Algorithm — Yu Lin, Shumin Zhi · International Journal of Internet Protocol Technology (2025) | TGRS Research Map | TGRS