Despite the growing volumes of proteomic data, integration of the underlying results remains problematic owing to differences in formats, data captured, protein accessions and ser...
Jennifer A. Siepen, Khalid Belhajjame, Julian N. S...
—Recently there is a growing interest in accessing network measurement and status data across multiple domains, in order to detect eventual network problems which can hinder the ...
Leobino Nascimento Sampaio, Ivo Koga, Rafael Costa...
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Multi-label learning refers to the problems where an instance can be assigned to more than one category. In this paper, we present a novel Semi-supervised algorithm for Multi-labe...
Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...