The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bell...
In this paper we present a comprehensive log compression (CLC) method that uses frequent patterns and their condensed representations to identify repetitive information from large ...
Presented are two novel solutions addressing issues in the application of automated data analysis techniques in the medical domain. The primary aim of our work is to provide medic...
Previous efforts on event detection from the web have focused primarily on web content and structure data ignoring the rich collection of web log data. In this paper, we propose t...
Qiankun Zhao, Tie-Yan Liu, Sourav S. Bhowmick, Wei...
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...