The highly variable and dynamic word usage in social media presents serious challenges for both research and those commercial applications that are geared towards blogs or other u...
Abstract. This paper presents a rough set model for constraint-based multidimensional association rule mining. It first overviews the progress in constraintbased multi-dimensional ...
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...
This paper is concerned with the problem of mining competitors from the Web automatically. Nowadays, the fierce competition in the market necessitates every company to know not onl...