Iot Data Mining
IoT Data Mining is a computational process that systematically extracts hidden patterns, correlations, and knowledge from large-scale, heterogeneous, and real-time sensor-derived data generated by interconnected devices within the Internet of Things, distinguished from general data mining by its focus on streaming, context-aware, and geographically distributed IoT-generated datasets.
282
Publications
18.5K
Citations
975
Authors
493
Institutions
Publications per year
2017–2026
239
Parents
282
Data Mining for Internet of Things: A Survey
Chun‐Wei Tsai, Chin‐Feng Lai, Ming‐Chao Chiang et al. · IEEE Communications Surveys & Tutorials · 2014 · 625 citations
1–5 of 282
975
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4
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4
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493
University of Technology Sydney
Sydney, Australia
6 h-index
8 publications
358 citations

Graphic Era University
Dehradun, India
5 h-index
4 publications
96 citations
Jordan University of Science and Technology
Irbid, Jordan
5 h-index
8 publications
480 citations

Chinese Academy of Sciences
Beijing, China
5 h-index
8 publications
1.8K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
5 h-index
13 publications
932 citations

King Saud University
Riyadh, Saudi Arabia
5 h-index
9 publications
468 citations

Shanghai Jiao Tong University
Shanghai, China
5 h-index
9 publications
2.1K citations
SRM Institute of Science and Technology
Chennai, India
4 h-index
5 publications
94 citations
1–8 of 493
FGCS · 16 publications · 1.5K citations
16
h-index
7 publications · 475 citations
8
h-index
8 publications · 1.2K citations
8
h-index
8 publications · 1.9K citations
8
h-index
7 publications · 179 citations
7
h-index
1–5