In the context of research, a typically refers to one of the following key aspects of the Case-Based Reasoning (CBR) methodology or its publications: 1. Key Research Features (Methodology)
For the digital versions of these proceedings (e.g., the 2024 or 2025 editions published by ), the term "feature" often refers to EPUB accessibility standards: Case-Based Reasoning Research and Development: ...
The phrase is the primary title of the proceedings for the International Conference on Case-Based Reasoning (ICCBR) , the premier annual forum for this field. In the context of research, a typically refers
Leveraging deep learning to automatically generate indexing features for cases, which is a significant modern research trend. Techniques used to determine which attributes of a
Techniques used to determine which attributes of a case are most important for finding accurate solutions.
Research and development in this field focus on several core "features" or technical components that make a CBR system functional:
How knowledge is structured within the "case base," often using ontologies or list of questions.