Mining the classification rules: the egyptian rice diseases as case study

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.