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Data Mining for Internet of Things: A Survey
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.
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“Data mining and machine learning approaches have been used for IoT data processing and analysis [52], [53].”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [52]
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Clustering of Association Rules for Big Datasets using Hadoop MapReduce
Moahmmed, S. A., Mohamed, A., & El-Alfy, E.-S. M. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120364 · Cited by 2
Classroom Resource Optimization of the English Four-Step Model Based on Deep Learning
Zhao, M., & Wang, L. (2021) · Security and Communication Networks · doi:10.1155/2021/7741425 · Cited by 2
“In the individual flight, alternating short distance with small steps and long distance with large steps can prevent the algorithm from falling into local minima [14, 15].”
BackgroundRetractedComparative Analysis and Study of Data Mining Techniques Used for IoT Based Smart Healthcare System
(2020) · International Journal of Emerging Trends in Engineering Research · doi:10.30534/ijeter/2020/198892020 · Cited by 2
“4 K-Nearest Neighbor: KNN classification algorithm totally depends upon the distance metric used to recognize the nearest neighbor of the observed object[6][7].”
BackgroundMethodInfluentialA privacy-aware data sharing framework for Internet of Things through edge computing platform
Telikani, A., Shen, J., Wang, P., & Yang, J. (2022) · IEEE International Conference on Edge Computing and Communications (EDGE) · doi:10.1109/edge55608.2022.00026 · Cited by 2
“For example, extracting associations between spatial patterns is essential in the IoT foundation [1] where retailers can improve their customer service.”
BackgroundDeep Learning in Big Data and Internet of Things
Tomar, D., Tomar, P., & Kaur, G. (2019) · Communications in computer and information science · doi:10.1007/978-981-13-5992-7_6 · Cited by 2
Efficient Frequent Pattern Mining in Data Streams
Chuang, P., & Tu, Y. S. (2019) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/234/1/012066 · Cited by 2
“Frequent pattern mining [1-2] can be performed in such structures as Landmark [3-4], Sliding Window [5-6] and Time Fading [7].”
MethodWatershed-Based Evaluation of Automatic Sensor Data: Water Quality and Hydroclimatic Relationships
Cantoni, J., Kalantari, Z., & Destouni, G. (2020) · Sustainability · doi:10.3390/su12010396 · Cited by 2
“A general need for improved and more efficient water monitoring is recognized [4], and the rapidly growing field of information and communication technology [5] can play a key role in meeting this challenge.”
BackgroundA New Approach for Efficient Structure Discovery in IoT
Berns, F., Schmidt, K. W., Graß, A., & Beecks, C. (2019) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata47090.2019.9006082 · Cited by 2
“Tsai et al. [10] as well as Chen et al. [2] highlight the importance of discovering hidden knowledge and information patterns in IoT data by means of data mining algorithms.”
BackgroundOn the Feasibility of Using Electronic Textiles to Support Embodied Learning
Ojuroye, O., & Wilde, A. (2019) · Springer eBooks · doi:10.1007/978-3-319-64301-4_8 · Cited by 2
Smart IoTs based urine measurement system.
Arshad, R. (2018) · Bournemouth University Research Online (Bournemouth University) · Cited by 2
Fault and Delay Tolerant IoT Smart Grid
Kuppusamy, S., & Raja, P. V. (2023) · Wiley eBooks · doi:10.1002/9781119812524.ch8 · Cited by 2
SEGURANÇA DO AMBIENTE USANDO DISPOSITIVO IOT COM PROCESSAMENTO DISTRIBUÍDO
Praciano, B. J. G., Filho, F. L. D. C., Martins, L. M. C. E., da Cunha, D. F., da Silva, D. A., & de Sousa, R. T. (2019) · Conferência Ibero-Americana WWW/Internet (CIAWI) · doi:10.33965/ciaca2019_201914l021 · Cited by 1
The impact of social media, big data and IOT on the supply chain management performance
Almalki, H. M. (2022) · Global Journal of Engineering and Technology Advances · doi:10.30574/gjeta.2022.12.3.0163 · Cited by 1
Gunalan, K., Dakshana, M., Sangeetha, S., Anandan, P., Saveetha, R., & Abirami, S. (2023) · International Conference on Smart Technologies, Communication and Robotics (STCR) · doi:10.1109/stcr59085.2023.10396997 · Cited by 1
An Overview of Deep Learning Techniques for Big Data IoT Applications
Kaur, G., Balyan, V., & Gupta, S. H. (2026) · International Journal of Communication Systems · doi:10.1002/dac.70418 · Cited by 2
“The work described in [21] focuses on data mining techniques and the different algorithms that have been utilized in IoT however descriptions of DL techniques are missing.”
Analysis of Activities of Daily Living for Silver Generations with an IoT-Based Telecare System
Park, Y. S., Park, K.-Y., Kim, M., Lee, S.-Y., & Seo, J. (2015) · The Journal of Advanced Navigation Technology · doi:10.12673/jant.2015.19.1.85 · Cited by 1
Rehman, A.-U., Ullah, R., & Abdullah, F. (2017) · The Internet of Things · doi:10.4018/978-1-5225-1832-7.ch018 · Cited by 1
Singh, R. N., & Sain, D. (2016) · International Journal of Computer Applications · doi:10.5120/ijca2016911748 · Cited by 1
Development of a Smart Wearable Device for Human Activity and Biometric Data Measurement
Kim, H., Seo, J., & Seo, J. (2015) · International Journal of Control and Automation · doi:10.14257/ijca.2015.8.11.05 · Cited by 1
“Moreover, Internet of Things (IoT) as a promising solution for human-to-machine and machine-to-machine interactions has been actively investigated in the areas of healthcare and wellness industry, since it allows many researchers to easily create various applications specific to these industries based on the interconn…”
BackgroundInternet-of-Things data highway from sensors to analyzers
Lee, J., Hyun, Y., Lee, Y., Yun, Y., & Han, S. (2016) · ACM Conference on Research in Adaptive and Convergent Systems (RACS) · doi:10.1145/2987386.2987428 · Cited by 1
“To begin with, C. Tsai et al. survey data mining technologies for the IoT [9].”
BackgroundA prediction classifier architecture to forecast device status on smart environments
Vilar, B. S. C. M., Schroeder, C. P., Wada, C., Bezerra, R. H., Heitzmann, L. L. A., Simionato, R., & Cavalcanti, G. D. C. (2016) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2016.7844392 · Cited by 1
“In order to address this problem, efficient data mining algorithms aimed at IoT applications are needed [2].”
Background
Metadata
- 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
- Licence
- 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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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