Abstract
In the recent years, there has been an increasing interest in ubiquitous computing. This paradigm is based on the idea that software should act according to the context where it is executed in what is known as context-awareness. The goal of this paper is to integrate context-awareness into case-based reasoning (CBR). To this end we propose thee methods which condition the retrieval and the reuse of information in CBR depending on the context of the query case. The methodology is tested using a breast-cancer diagnose database enriched with geospatial context. Results show that context-awareness can improve CBR.
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Pla, A., Coll, J., Mordvaniuk, N., López, B. (2014). Context-Aware Case-Based Reasoning. In: Prasath, R., O’Reilly, P., Kathirvalavakumar, T. (eds) Mining Intelligence and Knowledge Exploration. Lecture Notes in Computer Science(), vol 8891. Springer, Cham. https://doi.org/10.1007/978-3-319-13817-6_23
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DOI: https://doi.org/10.1007/978-3-319-13817-6_23
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