News Updates Thursday 28th Mar 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

A Comparative Study of Different Data Mining Algorithms


Author : Shrey Bavisi, Jash Mehta and Lynette Lopes

Pages : 3248-3252
Download PDF
Abstract

Data Mining is used extensively in many sectors today, viz., business, health, security, informatics etc. The successful application of data mining algorithms can be seen in marketing, retail, and other sectors of the industry. The aim of this paper is to present the readers with the various data mining algorithms which have wide applications. This paper focuses on four data mining algorithms K-NN, Naïve Bayes Classifier, Decision tree and C4.5. An attempt has been made to do a comparative study on these four algorithms on the basis of theory, its advantages and disadvantages, and its applications. After studying all these algorithms in detail, we came to a conclusion that the accuracy of these techniques depend on various characteristics such as: type of problem, dataset and performance matrix.

Keywords: Data mining, k-NN, Naïve Bayes classifier, Decision Tree, C4.5, classification

Article published in International Journal of Current Engineering and Technology, Vol.4, No.5 (Oct-2014)

 

 

Call for Papers
  1. IJCET- March/April 2024 Issue

    Submission Last Date
    30 April 2024
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-March-2024
  5. IJAIE-March-2024
  6. IJCSB-March-2024
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved