With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...
Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, Yiho...
Despite a large body of literature and methods devoted to the Traffic Matrix (TM) estimation problem, the inference of traffic flows volume from aggregated data still represents a ...
This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called "motherese" which is characterized by highe...
The usage of descriptive data mining methods for predictive purposes is a recent trend in data mining research. It is well motivated by the understandability of learned models, the...