Mining the Classification Rules for Egyptian Rice Diseases

Mohammed El-Telbany¹, Mahmoud Warda², and Mahmoud El-Borahy³

¹Computers and System Department, Electronics Research Institute, Egypt

²National Research Center, Egypt

³Mathematical Department, Alexandria University, Egypt

Abstract: 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 posses 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.

Keywords: Data mining, classification, decision trees, neural networks, expert systems.