By Sankar K. Pal, Simon C. K. Shiu
- presents a self-contained description of this significant element of data processing and selection help technology.
- provides easy definitions, ideas, purposes, and an in depth bibliography.
- Covers a variety of real-world examples together with regulate, info mining, and development recognition.
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Extra info for Foundations of Soft Case-Based Reasoning
COMPONENTS AND FEATURES OF CASE-BASED REASONING 5 as a basis for reasoning about a situation, where the model can be qualitative or quantitative. These systems are referred to as model-based systems. Case-based reasoning systems are an alternative, in many situations, to rulebased systems. In many domains and processes, referring to cases as a means of reasoning can be an advantage due to the nature of this type of problem solving. One of the most time-consuming aspects when developing a rule-based system is the knowledge acquisition task.
However, adaptation in CBR systems is still an open question because it is a complicated process that tries to manipulate case solutions. , the solution features) of the related cases. , previous cases) were supplemented by general knowledge, which is usually domain dependent. This support may range from very weak to very strong, depending on the type of CBR method. For example, in using previous patient records for medical diagnosis, a causal model of pathology and anatomy may constitute the general knowledge used by a CBR system.
In simple terms with all features weighted equally, a case that matches the present case on n features will be retrieved rather than a case that matches on only k features, where k < n. Features that are considered more important in a problem-solving situation may have their importance denoted by weighting them more heavily in the case-matching process. 2. Inductive approaches. When inductive approaches are used to determine the case-base structure, which determines the relative importance of features for discriminating among similar cases, the resulting hierarchical structure of the case base provides a reduced search space for the case retriever.
Foundations of Soft Case-Based Reasoning by Sankar K. Pal, Simon C. K. Shiu