Data analytics for internet of things: A review

Chun Wei Tsai, Pang Wei Tsai, Ming Chao Chiang, Chu Sing Yang

Research output: Contribution to journalReview articlepeer-review

11 Scopus citations


The internet of things (IoT), which provides a way to connect every “thing” via the internet to further develop a convenient environment, has been around for more than a decade. The trend of the development of IoT nowadays is to focus not only on its devices and systems but also on data analysis. The main reason is that data from sensors or systems typically contain valuable information that is very useful for improving the system performance or providing a better service to the user if we come up with a good “data analysis” solution. This paper begins with a brief review of data mining technologies for IoT. Then, a reference data analytics architecture is given to show how data analysis technologies can be applied to an IoT system. Finally, applications, open issues, and possible research directions are addressed. This article is categorized under: Application Areas > Internet and Web-Based Applications Fundamental Concepts of Data and Knowledge > Key Design Issues in Data Mining Technologies > Computational Intelligence Technologies > Machine Learning.

Original languageEnglish
Article numbere1261
JournalWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Issue number5
StatePublished - 1 Sep 2018


  • data analytics
  • data mining
  • health care
  • internet of things
  • smart agriculture
  • smart city


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