Stoffel, Kilian

2002-4, Cotofrei, Paul, Stoffel, Kilian, Sloot, Peter, Tan, Chih Jeng Kenneth, Dongarra, Jack, Hoekstra, Alfons

Due to the wide availability of huge data collection comprising multiple sequences that evolve over time, the process of adapting the classical data-mining techniques, making them capable to work into this new context, becomes today a strong necessity. In [1] we proposed a methodology permitting the application of a classification tree on sequential raw data and the extraction of the rules having a temporal dimension. In this article, we propose a formalism based on temporal first logic-order and we review the main steps of the methodology through this theoretical frame. Finally, we present some solutions for a practical implementation.