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Classification of Penaeid prawn species is an important research problem in the area of aquaculture. In literature, many ML algorithms have been proposed for classification. In this paper, performance and usability of penaied prawn species are compared using K-Nearest Neighbourhood (KNN) algorithm, Support Vector Machines (SVM) and Back Propagation Neural Networks (BPNN). For experimental evaluation...
The issue of high utility mining is finding the majority of the high utility item sets in a value-based database. Most calculations discover high utility item sets in two stages. The initial step distinguishes the greater part of the potential item sets. The second step then decides the high utility item sets from the arrangement of potential item sets. The extensive number of potential item sets...
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