A Service Classification Approach Based on Suffix Tree Clustering

Abstract

Service classification approach that is based on text mining, semantic processing and machine learning is proposed. Specifically, Word Net is used to standardize service specifications and the classification approach applied is based on suffix tree clustering. The major advantage of this classification approach is that this approach can obtain the category description of classification while others can not do. In addition, it also has a better performance.