During visual analysis, users must often connect insights discovered at various points of time to understand implicit relations within their analysis. This process is often called...
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...
We present an adaptive distributed query-sampling framework that is quality-conscious for extracting high-quality text database samples. The framework divides the query-based samp...
Whenever a client frequently has to retrieve, to query and to locally transform large parts of a huge XML document that is stored on a remote web information server, data exchange...
Abstract. We present a case-based reasoning technique based on conceptual neighborhoods of cases. The system applies domain knowledge to the case retrieval process in the form of r...