In this paper we present CBET, a software tool devoted to support interactive exploration of a case base. CBET is an integrated environment that provides a range of browsing and display functions that make possible learning from a set of cases. An application of CBET to training firemen is presented. In this application cases describe past forest fire fighting interventions and CBET is used to detect dependencies between data, acquire practical planning competences, visualize complex data, clustering similar cases. We describe how well rooted Machine Learning techniqes for selecting rlevant features, clustering cases and forecasting unknown values have been adapted and reused for case base exploration
CBET: A Case Base Exploration Tool
Avesani, Paolo;Perini, Anna;Ricci, Francesco
1997
Abstract
In this paper we present CBET, a software tool devoted to support interactive exploration of a case base. CBET is an integrated environment that provides a range of browsing and display functions that make possible learning from a set of cases. An application of CBET to training firemen is presented. In this application cases describe past forest fire fighting interventions and CBET is used to detect dependencies between data, acquire practical planning competences, visualize complex data, clustering similar cases. We describe how well rooted Machine Learning techniqes for selecting rlevant features, clustering cases and forecasting unknown values have been adapted and reused for case base explorationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
