关键词: 数据分类, 否定选择, 数据约简, 掩码

Abstract: Based on immune negative selection principle, a novel mask piecewise matching negative selection classifier was introduced to accomplish the date classification. In order to improve the accuracy of classified mining, a classification rule coding was defined and a criterion of information grade was proposed to obtain the rules. This method has a better command of obtain the global optimum than traditional algorithm. The simulation results illustrate that the immune classifier is an available and feasible algorithm for data classification, improved the classification’s accuracy and validity.

Key words: data classification, negative selection, data reduce, Mask