Discretization of Continuous Attributes in Decision Table Based on Conditional Information Quantity

In this paper a new discretization algorithm of continue attributes in decision table is offered.Firstly,the conditional information quantity used to measure the importance of condition attributes,according to which the condition attributes are sorted in a descending order.Secondly,all break points of every condition attributes are examined and the redundant ones are eliminated.Finally,each value in the decision table is replaced by a number representing the break point,and then the decision table is discretized.The algorithm is constructed with good understandability and simple computation.