The paper presents a Grid Service allowing to detect and extract the longest common sub-spectrum among a set of mass spectrometry spectra data. The service is based on a novel pat...
Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on ...
We are designing new data mining techniques on boolean contexts to identify a priori interesting concepts, i.e., closed sets of objects (or transactions) and associated closed sets...
We present an algorithm for the runtime monitoring of business process properties with data parameterization. The properties are expressed in LTL-FO+ , an extension to traditional...
A prototype system has been designed to automate the extraction of bibliographic data (e.g., article title, authors, , affiliation and others) from online biomedical journals to p...