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Comparative Study on Data Mining Classification Algorithms

Author(s):

Sanket Samaiya , D.Y.Patil Institute of Technology,Pimpri; Nisha Toke, D.Y.Patil Institute of Technology,Pimpri; Mehernaaz Patel, D.Y.Patil Institute of Technology,Pimpri; Mugdha Umarjikar, D.Y.Patil Institute of Technology,Pimpri

Keywords:

Data Mining, Classification, ID3, Naive Bayes, C4.5

Abstract

Data mining classification algorithms are used to find out in which group each data instance is related within a given dataset. These algorithms used for classifying data into different classes according to some constrains. Several major kinds of classification algorithms including C4.5 [2], ID3 and Naive Bayes are used for classification [1][3]. Factors that affect the performance of a classification algorithm are training data set, number of tuples and attributes, types of attributes and system configuration. While considering these factors this paper provides an inclusive study of different classification algorithms and their features and limitations.

Other Details

Paper ID: IJSRDV6I20133
Published in: Volume : 6, Issue : 2
Publication Date: 01/05/2018
Page(s): 3923-3925

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