A CBR-Based, Closed-Loop Architecture for Temporal Abstractions Configuration

IONS CONFIGURATION STEFANIA MONTANI,1 ALESSIO BOTTRIGHI,1 GIORGIO LEONARDI,2 AND LUIGI PORTINALE1 1Università del Piemonte Orientale, Alessandria, Italy 2Università di Pavia, Pavia, Italy In the hemodialysis domain, we are implementing a case-based, closed-loop architecture aimed at configuring temporal abstractions (TA), which will be applied to time series data. The advantage of a case-based approach is the one of “quickly” obtaining a suitable TA parameter configuration, simply by looking at the most similar already configured case, where configured cases are indexed by means of contextual information. The retrieved configuration, together with the time series data, is then used as an input to a TA processing module, able to provide a set of qualitative states, trends, and significant combinations of both as an output. TA processing results can finally be evaluated, possibly leading to a (human-supervized) reorganization/revision of the case base content, to ameliorate future TA configuration sessions—thus closing the loop. The work is being integrated with RHENE, a system for case-based retrieval in hemodialysis, able to work both on raw time series data and on preprocessed (by