Research communities are very important for researchers undertaking new research topics. In this paper, we propose a community mining system using bibliography data in order to ï¬...
While traditional algorithms concern positive associations between binary or quantitative attributes of databases, this paper focuses on mining both positive and negative fuzzy ass...
Peng Yan, Guoqing Chen, Chris Cornelis, Martine De...
Frequent constraint violations on the data stored in a database may suggest that the semantics of the represented reality is changing. In this work we propose a methodology and a t...
An approach to postal address detection from webpages is proposed. The webpages are ï¬rst segmented into text blocks based on their visual similarity. The text content in each bl...
Ontology learning from texts has recently been proposed as a new technology helping ontology designers in the modelling process. Discovery of non–taxonomic relations is understoo...
Martin Kavalec, Alexander Maedche, Vojtech Sv&aacu...