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Classification Techniques in Machine Learning: Applications and Issues - 2017

Classification Techniques In Machine Learning: Applications And Issues

Classification Techniques in Machine Learning | S - Logix

Research Area:  Machine Learning


Classification is a data mining (machine learning) technique used to predict group membership for data instances. There are several classification techniques that can be used for classification purpose. In this paper, we present the basic classification techniques. Later w e discuss some major types of classification method including Bayesian networks, decision tree induction, k-nearest neighbor classifier and Support Vector Machines (SVM) with their strengths, weaknesses, potential applications and issues with their available solution. The goal of this study is to provide a comprehensive review of different classification techniques in machine learning. This work will be helpful for both academia and new comers in the field of machine learning to further strengthen the basis of classification methods.

data mining
data instance
bayesian networks
decision tree induction

Author(s) Name:  Aized Amin Soofi, Arshad Awan

Journal name:  Journal of Basic & Applied Sciences

Conferrence name:  

Publisher name:  Set Publisher

DOI:  10.6000/1927-5129.2017.13.76

Volume Information:  volume 13, Pages 459-465