Integrating global and local application of naive bayes classifier
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 4 (31 Jul. 2014)8 p.
Publisher
Publication Date
2014-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Naive Bayes algorithm captures the assumption that every attribute is independent from the rest of the attributes, given the state of the class attribute.
In this study, we attempted to increase the prediction accuracy of the simple Bayes model by integrating global and local application of Naive Bayes classifier.
We performed a large-scale comparison with other attempts that have tried to improve the accuracy of the Naive Bayes algorithm as well as other state-of-the-art algorithms on 28 standard benchmark datasets and the proposed method gave better accuracy in most cases.
American Psychological Association (APA)
Kotsiantis, Sotiris. 2014. Integrating global and local application of naive bayes classifier. The International Arab Journal of Information Technology،Vol. 11, no. 4.
https://search.emarefa.net/detail/BIM-334349
Modern Language Association (MLA)
Kotsiantis, Sotiris. Integrating global and local application of naive bayes classifier. The International Arab Journal of Information Technology Vol. 11, no. 4 (Jul. 2014).
https://search.emarefa.net/detail/BIM-334349
American Medical Association (AMA)
Kotsiantis, Sotiris. Integrating global and local application of naive bayes classifier. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 4.
https://search.emarefa.net/detail/BIM-334349
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-334349