Mining the classification rules for egyptian rice diseases
Joint Authors
al-Telbany, Muhammad
Warda, Mahmud
al-Borah, Mahmud
Source
The International Arab Journal of Information Technology
Issue
Vol. 3, Issue 4 (31 Oct. 2006), pp.303-307, 5 p.
Publisher
Publication Date
2006-10-31
Country of Publication
Jordan
No. of Pages
5
Main Subjects
Botany
Information Technology and Computer Science
Topics
Abstract EN
Applications of learning algorithms in knowledge discovery are promising and relevant area of research.
It is offering new possibilities and benefits in real-world applications, helping us understand better mechanisms of our own methods of knowledge acquisition.
Decision trees is one of learning algorithms which possess certain advantages that make it suitable for discovering the classification rule for data mining applications.
This paper, intended to discover classification rules for the Egyptian rice diseases using the C4.
5 decision trees algorithm.
Experiments presenting a preliminary result to demonstrate the capability of C4.
5 mine accurate classification rules suitable for diagnosis the disease.
American Psychological Association (APA)
al-Telbany, Muhammad& al-Borah, Mahmud& Warda, Mahmud. 2006. Mining the classification rules for egyptian rice diseases. The International Arab Journal of Information Technology،Vol. 3, no. 4, pp.303-307.
https://search.emarefa.net/detail/BIM-11974
Modern Language Association (MLA)
al-Telbany, Muhammad…[et al.]. Mining the classification rules for egyptian rice diseases. The International Arab Journal of Information Technology Vol. 3, no. 4 (Oct. 2006), pp.303-307.
https://search.emarefa.net/detail/BIM-11974
American Medical Association (AMA)
al-Telbany, Muhammad& al-Borah, Mahmud& Warda, Mahmud. Mining the classification rules for egyptian rice diseases. The International Arab Journal of Information Technology. 2006. Vol. 3, no. 4, pp.303-307.
https://search.emarefa.net/detail/BIM-11974
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 306
Record ID
BIM-11974