Knowledge discovery for enabling smart Internet of Things: A survey. (26th July 2018)

• Record Type: Journal Article
• Authors: Misra, Sudip; Mukherjee, Anandarup; Roy, Arijit
• Is Part Of: Wiley interdisciplinary reviews. Volume 8:Number 6(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-07-26
• Subjects: deep learning -- IoT -- knowledge discovery -- machine learning -- mobile agents -- sensor networks; Data mining -- Periodicals; 006.31205
• DOI: 10.1002/widm.1276
• Languages: English
• ISSNs: 1942-4787

Abstract

Abstract : The use of knowledge discovery on the Internet of Things (IoT) and its allied domains is undeniably one of the most indispensable ones, which results in optimized placement architectures, efficient routing protocols, device energy savings, and enhanced security measures for the implementation. The absence of knowledge discovery in IoT results in just an implementation of large‐scale sensor networks, which generates a huge amount of data, and which needs, an often under‐optimized, processing for actionable outputs. In this survey, we explore various domains of IoT for which knowledge discovery is inseparable from the application, and show how it benefits the overall implementation of the IoT architecture. This article is categorized under: Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Machine Learning Application Areas > Internet and Web‐Based Applications Algorithmic Development > Spatial and Temporal Data Mining Abstract : Knowledge discovery in smart Internet of Things