In recent years, due to the increasing popularization of data broadcasting, the volume and variety of data being broadcast are rapidly increasing. In this environment, as it is di...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Most template detection methods process web pages in batches that a newly crawled page can not be processed until enough pages have been collected. This results in large storage c...
Yu Wang, Binxing Fang, Xueqi Cheng, Li Guo, Hongbo...
Client-server architectures with clients on divergent platforms are in need of services that serve a high level of interoperability and a loose binding. It should be prevented tha...
Barbara Van De Keer, Dieter Van Rijsselbergen, Eri...
: In the context of knowledge management, we focus on the representation and the retrieval of past experiences called cases within the Case-Based Reasoning (CBR) paradigm. CBR is a...