IBLE Algorithm in Agricultural Disease Diagnosis

摘要

Although the ID3 algorithm holds the extremely important position in the data mining. But the ID3 algorithm existence cannot process the continual attribute, the computation information gain when the application the deviation in insufficiency and so on selection value many attributes. Therefore, one kind of advanced version decision-making tree algorithm IBLE was proposed that it mainly is uses in the information theory. The channel capacity concept to take chooses the important characteristic to the entity in the measure. Combines the rule with many characteristics the point to distinguish the example can effectively the correct distinction. This article applies this algorithm in the oral cavity disease diagnosis, the experimental result indicated this algorithm has the very strong recognition capability to agriculture case diagnosis to very good assistance diagnosis function.