Case-Based Reasoning Research and Development: 24th by Ashok Goel, M Belén Díaz-Agudo, Thomas Roth-Berghofer

By Ashok Goel, M Belén Díaz-Agudo, Thomas Roth-Berghofer

This booklet constitutes the refereed lawsuits of the twenty fourth overseas convention on Case-Based Reasoning study and improvement, ICCBR 2016, held in Atlanta, GA, united states, in October/November 2016.

The 14 revised complete papers awarded have been rigorously reviewed and chosen from forty four submissions. The papers hide quite a lot of CBR subject matters which are of curiosity either to researchers and practitioners from foundations of Case-Based Reasoning; over CBR platforms for particular projects and comparable fields; as much as CBR structures, functions and classes discovered in particular components of craftsmanship equivalent to well-being; e-science; finance; power, logistics, site visitors; game/AI; cooking; prognosis, technical aid; in addition to wisdom and adventure management.

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Data for the patient description is acquired with various frequency patterns in the selfBACK life cycle, and the advice given through the app is updated accordingly. We can assume that the initial information, such as demographic data and information provided by the clinician, is somewhat static while other information is expected to change more frequently. At the extreme end of that scale is the continuous data stream from the wristband. The case structure is shown in Table 1. As earlier described, we differentiate between subjective and objective measurements of a patient’s situation.

Storyline Query. For the storyline query (see Fig. 3) a scenario of an apartment for elderly married couple was selected by participants. For this query the participants decided to make two search requests in each iteration: first the request with the Semantic Connections FP and then the addition of the Room Functions FP in the next request (except the first iteration). In general, the results of the storyline query (see Fig. 4 and the Table 2) confirmed the evident assumption that the exact matching approach of the GMLMatcher (Messmer-Bunke-Algorithm) would find the exact (sub-)structures among the graphs and can answer the question if such a structure is available in the database at all, so that the user can take a look how it is implemented in another floor plan.

501–512. Springer, Heidelberg (2002). doi:10. 1007/3-540-45848-4 59 6. : CBArch: a case-based reasoning framework for conceptual design of commercial buildings. In: Artificial Intelligence and Sustainable Design - Papers from the AAAI 2011 Spring Symposium (SS-11-02), pp. 19–25 (2011) 7. : A (sub) graph isomorphism algorithm for matching large graphs. IEEE Trans. Pattern Anal. Mach. Intell. 26(10), 1367–1372 (2004) Comparative Evaluation of Retrieval Coordination 31 8. : BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors.

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