By Michael M. Richter, Rosina Weber
-First English-language textbook at the topic
-Coauthor one of the pioneers of the subject
-Content completely class-tested, e-book positive factors bankruptcy summaries, history notes, and workouts throughout
While it really is quite effortless to list billions of stories in a database, the knowledge of a method isn't measured via the variety of its reports yet particularly via its skill to use them. Case-based reasoning (CBR) should be considered as event mining, with analogical reasoning utilized to problem–solution pairs. As circumstances tend to be now not exact, easy garage and keep in mind of studies isn't really enough, we needs to outline and examine similarity and version. the basics of the method are actually well-established, and there are numerous winning advertisement functions in diversified fields, attracting curiosity from researchers throughout quite a few disciplines.
This textbook offers case-based reasoning in a scientific technique with ambitions: to offer rigorous and officially legitimate constructions for certain reasoning, and to illustrate the diversity of ideas, equipment, and instruments to be had for plenty of purposes. within the chapters partly I the authors current the fundamental parts of CBR with out assuming earlier reader wisdom; half II explains the center equipment, in particular case representations, similarity themes, retrieval, version, overview, revisions, studying, development, and upkeep; half III deals complicated perspectives of those themes, also protecting uncertainty and percentages; and half IV indicates the variety of data assets, with chapters on textual CBR, images, sensor facts and speech, conversational CBR, and data administration. The publication concludes with appendices that provide brief descriptions of the elemental formal definitions and strategies, and comparisons between CBR and different techniques.
The authors draw on years of educating and coaching adventure in educational and enterprise environments, and so they hire bankruptcy summaries, heritage notes, and routines through the e-book. It's compatible for complex undergraduate and graduate scholars of computing device technological know-how, administration, and similar disciplines, and it's additionally a realistic creation and advisor for business researchers and practitioners engaged with wisdom engineering platforms.
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Extra info for Case-Based Reasoning
Exercise 5 (Intended for computer scientists) Name some knowledge containers for other knowledge-based systems such as rule-based reasoning, fuzzy expert systems, and ontologies. Exercise 6 Find useful sub-containers for adaptation. 40 2 Basic CBR Elements Exercise 7 Propose an application domain where CBR can be used to provide solutions to problems. Consider what source of cases you would have. Exercise 8 Describe characteristics that you would require for a problem to be solved with the CBR methodology.
CBR uses them for solving problems; therefore, there must be something in the experience that talks about a problem and its solution. In a simple view, CBR divides an experience into two parts: • A problem part (or a description of a problem situation). • A solution part that describes how one has reacted. Often one restricts CBR to solutions that have been successful, but that is by no means necessary or adequate. A failed solution is also an important piece of information that states what one has to avoid.
The (local) attribute similarities are easier to get because they deal only with the domain of a single attribute and are therefore easier to estimate adequately. The weights, however, are of global character because they relate attributes to each other and are therefore much more difficult to determine. Intuitively importance means that an important attribute has a large influence on the choice of which case is the nearest neighbour for a query. The case base in the example is very small but sufficient for illustrating these main concepts.
Case-Based Reasoning by Michael M. Richter, Rosina Weber