Adaptive associative classification with emerging frequent patterns

• 作 者: Wang Xiaofeng Zhang Dapeng Shi
• 机 构: The Key Laboratory of Intelligent Information Processing,Graduate University of Chinese Academy of S
• 出 处: 高技术通讯（英文版）
• 发表日期: 2004年期
• 关键词: associative classification rule frequent pattern mining emerging frequent patter
• 基金项目: the National High Technology Research and Development Program of China;国家自然科学基金;the National Science and Technology Support Plan;the National Basic Research Priorities Programme

In this paper,we propose an enhanced associative classification method by integrating the dynamic property in the process of associative classification.In the proposed method,we employ a support vector machine(SVM) based method to refine the discovered emerging frequent patterns for classification rule extension for class label prediction.The empirical study shows that our method can be used to classify increasing resources efficiently and effectively.