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A CBR‐BASED, CLOSED‐LOOP ARCHITECTURE FOR TEMPORAL ABSTRACTIONS CONFIGURATION
Author(s) -
Montani Stefania,
Bottrighi Alessio,
Leonardi Giorgio,
Portinale Luigi
Publication year - 2009
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.2009.00340.x
Subject(s) - computer science , loop (graph theory) , set (abstract data type) , domain (mathematical analysis) , architecture , raw data , series (stratigraphy) , data mining , artificial intelligence , real time computing , programming language , mathematics , art , mathematical analysis , paleontology , combinatorics , visual arts , biology
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 means of TA) ones.