摘要
为高效地识别垃圾短信,在关联分类算法基础上,提出基于语序的关联分类(associative classification based on word order,ACW)算法.该算法利用关联规则挖掘方法,同时结合句法顺序,生成分类规则.通过实验证明,在短信分类领域,ACW算法的效果优于传统关联分类算法.
The short messaging service （ SMS） spam was effectively recognized based on the associative classification algorithm, and an algorithm called ACW was proposed. The algorithm generated ordered classification rules with association rules mining method by using the semantic order words. In the experiments, that ACW is better than the traditional associative classification algorithm in the territory of classification of SMS is demonstrated in this paper.
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2015年第7期1020-1027,共8页
Journal of Beijing University of Technology
基金
国家自然科学基金资助项目(61170221)
关键词
关联分类
句法顺序
垃圾短信识别
associative classification
word order
SMS spam recognition
