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A survey on various supervised classification algorithms - 2017

A Survey On Various Supervised Classification Algorithms

Survey on various supervised classification algorithms | S - Logix

Research Area:  Machine Learning

Abstract:

Machine learning is concerned with the development, the analysis and the applications of algorithms that allow computers to learn. Supervised learning is the machine learning task of inferring a function from labelled training data. In this paper, we present a survey of various supervised classification techniques. The goal of this survey is to provide an inclusive review of different supervised classification techniques such as decision tree, Support Vector Machine, Naive Bayes, K-Nearest Neighbour, Neural Network.

Keywords:  
machine learning
supervised learning
classification technique
decision tree
support vector machine
naive bayes
K-nearest neighbour

Author(s) Name:  Uma Narayanan; Athira Unnikrishnan; Varghese Paul; Shelbi Joseph

Journal name:  

Conferrence name:  International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)

Publisher name:  IEEE

DOI:  10.1109/ICECDS.2017.8389824

Volume Information: