“…Features such as large data volume, the efficiency of knowledge discovery, the accuracy of discovered knowledge, and discovery automation are all linked together, and have to be addressed together for reliable knowledge discovery (Soundararajan, Joseph, Jayakumar, & Somasekharan, ) in IoT networks. We group the IoT knowledge discovery types into two broad categories— Posteriori and Priori , such that - Posteriori : The knowledge extending from experience, empirical evidence, or historical data is considered as a priori knowledge (Liqiang, Shouyi, Leibo, Zhen, & Shaojun, ). For example, the success of a crop harvest in a particular geographical and climatic region depends on historical data of the region's seasonal and climatic variations, water availability, and soil type.
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