Being able to recognise and make use of such patterns is lucrative business for companies. Edgar de Graaf discovered that interesting patterns often contain a time aspect. Jeroen De Knijf developed methods to detect relevant patterns quicker.
In subject jargon it is called data mining: looking for interesting relationships within large quantities of data. Many data-mining programs produce a flood of potentially interesting patterns: as a user, how can you then find what you are looking for? Furthermore, the files are not always set up for such search actions, as is the case on the Internet or for instance in bioinformatics. It usually concerns semi-structured files: they often contain, for example, hyperlinks to other files, and contain (partial) information in a range of formats, such as text, images and sound.MISTA project
The patterns can best be presented visually so that the user can find the information sought at a single glance. To realise this De Graaf described various ways of presenting different types of information.Wikipedia compressed
A second method De Knijf devised to reduce the number of results is the compression of the entire collection of documents (for example, Wikipedia pages) into a single document. By building accurate models that only make use of the compressed document, De Knijf was able to demonstrate that this summary does indeed contain the essential information from the entire collection.
The research was funded from the Open Competition 2003 of NWO Physical Sciences.
Kim van den Wijngaard | alfa
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