Multi-dimensional major medicines analysis is one of the most important tasks in the data analysis of Traditional Chinese Medicine (TCM) prescriptions. In this paper, an effective...
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
This paper addresses personal E-mail filtering by casting it in the framework of text classification. Modeled as semi-structured documents, Email messages consist of a set of field...
Medicine Paring Analysis is one of the most important tasks in the research of Traditional Chinese Medicine Prescriptions. The most essential and difficult step is to mine associat...
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou