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Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining

Authors(3):

Mohammed Mustaqim Rahman, Tarikuzzaman Emon, Zonayed Ahmed
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The paper presents an extensive modification of ID3 (Iterative Dichotomiser) algorithm and Naive Bayesian Classification algorithm for data mining. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support systems. Data mining tools can answer business questions that traditionally were too time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. Most companies already collect and refine massive quantities of data. Data mining techniques can be implemented rapidly on existing software and hardware platforms to enhance the value of existing information resources, and can be integrated with new products and systems as they are brought on-line. This paper provides an introduction to the basic technologies of data mining. Examples of profitable applications illustrate its relevance to today's business environment as well as a basic description of how data warehouse architectures can evolve to deliver the value of data mining to end users.

Mohammed Mustaqim Rahman, Tarikuzzaman Emon, Zonayed Ahmed

ID3, Naive Bayesian, Algorithm, Data mining, Database.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
755-766 IJSRSET1622190   Technoscience Academy

Cite This Article

Mohammed Mustaqim Rahman, Tarikuzzaman Emon, Zonayed Ahmed, "Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.755-766, March-April-2016.
URL : http://ijsrset.com/IJSRSET1622190.php

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