Abstract
The factor driving the lucrative IoT (Internet of Things) domain is the amalgamation of diverse technologies and their associated solution strategies. This research paper reports the recent review work on IoT for data analytics methods and applications. It also work IoT data classification holding diverse dimensions. In addition, a recent and intense survey of different kinds of data analytics techniques pertaining to different applications with datasets picked up from diverse domains are unfolded and packed into domain categories for usage in IoT in this work. In the present heterogeneous IoT scenario, this recent survey is dedicated to the ones who wish to loom towards this complex domain and dream to bestow upon its research and development. A wide spectrum of visions related to data techniques for IoT is presented along with the intense review of the allied enabling technologies. Open research issues and future directions of research are also presented.
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Dabas, C. (2019). Recent Research on Data Analytics Techniques for Internet of Things. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Kashyap, R. (eds) Advances in Computing and Data Sciences. ICACDS 2019. Communications in Computer and Information Science, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-13-9939-8_41
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