Data Mining for Internet of Things: A Survey

By Chun-Wei Tsai, Chin-Feng Lai, Ming-Chao Chiang, Laurence Tianruo Yang. 2014

613 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

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Citations in the corpus

Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “The work presented in [11] by Tsai et al.”
Machine Learning Based Solutions for Security of Internet of Things (IoT): A Survey (2020, background): “Most of the devices in IoT layers are plug and play types from where a huge portion of big data are produced [32]-[36].”
Network Intrusion Detection for IoT Security Based on Learning Techniques (2019, background): “[21] survey both, features of data for IoT and features for data mining for IoT with a discussion about changes, potentials, open issues, and future trends.”
A survey of machine learning for big data processing (2016, background): “In [9], the authors reviewed studies on applying data mining and KDD technologies to the IoT.”
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications (2017, background): “…is enacted to sense and collect the status data of objects in IoT, data aggregation integrates an amount of related data into a comprehensive information, and data mining and analytics extract the potential value of integrated comprehensive information for special applications in IoT [125].”
Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems (2021, background): “Bias recently began to attract a great attention in modern machine learning systems [84], [85].”
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (2018, methodology): “insights from these data, researchers [51]–[57] have discussed different methods of integrating big data analytical methods with IoT design.”
Machine learning for Internet of Things data analysis: A survey (2017, background): “[12] ran a survey to respond to some of the challenges in preparing and processing data on the IoT through data mining techniques.”
Deep Learning in Mobile and Wireless Networking: A Survey (2018, background): “ outlook of deep learning for recommender systems. D 7 7 Yu et al. [33] A survey on networking big data. D Alsheikh et al. [34] A survey on machine learning in wireless sensor networks. D Tsai et al. [35] A survey on data mining in IoT. D Cheng et al. [36] An introductions mobile big data its applic”
Fog Assisted-IoT Enabled Patient Health Monitoring in Smart Homes (2018, methodology): “To classify the patient event data as abnormal or normal, Bayesian belief network (BBN) classifier is used [16].”
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “5) Survey of data mining [27], [31], [32].”
The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey (2015, neutral): “Edge mining in IoT paradigm is discussed in [7].”
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (2015, methodology): “tion, dimensionality reduction, feature selection, and distributed computing methods [166].”