Cited by 620Internet of Things and AIIoT and Edge/Fog ComputingData Mining Algorithms and Applications

Data Mining for Internet of Things: A Survey

Tsai, Chun-Wei, Lai, Chin-Feng, Chiang, Ming-Chao, Yang, Laurence T.·2014·IEEE Communications Surveys & Tutorials

Abstract

It sounds like mission impossible to connect everything on the Earth together via Internet, but Internet of Things (IoT) will dramatically change our life in the foreseeable future, by making many "impossibles" possible. To many, the massive data generated or captured by IoT are considered having highly useful and valuable information. Data mining will no doubt play a critical role in making this kind of system smart enough to provide more convenient services and environments. This paper begins with a discussion of the IoT. Then, a brief review of the features of "data from IoT" and "data mining for IoT' is given. Finally, changes, potentials, open issues, and future trends of this field are addressed.

Integrity signals

Registry

Crossref · 10.1109/surv.2013.103013.00206

Cites

152 of 152 references verified0 citation errors · 0 not checkable

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Authors
Tsai, C.-W., Lai, C.-F., Chiang, M.-C., & Yang, L. T.
Affiliations
  • Chia Nan University of Pharmacy and Science (TW)
  • National Chung Cheng University (TW)
  • National Sun Yat-sen University (TW)
  • Huazhong University of Science and Technology (CN)
Venue
IEEE Communications Surveys & Tutorials
Published
2014
Volume
16
Issue
1
Pages
77-97
ISSN
  • 1553-877X (ISSN-L)
  • 2373-745X
OpenAlex
W2041785419
Cited by
620
References
156
Citations by year
2026: 7 · 2025: 17 · 2024: 29 · 2023: 35 · 2022: 44 · 2021: 58 · 2020: 73 · 2019: 87 · 2018: 86 · 2017: 92 · 2016: 55 · 2015: 25 · 2014: 11
FWCI
168.67
Type
journal article
Language
en
Open access
closed
Locations
IEEE Communications Surveys & Tutorials (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
  • Physical Sciences › Computer Science › Information Systems › Data Mining Algorithms and Applications
Keywords
Internet of Things, data mining, IoT data, big data, smart environments, open problems, future trends

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