Applying Case-Based Reasoning: Techniques for Enterprise Systems
Case-based reasoning (CBR) is an intelligent-systems method that enables information managers to increase efficiency and reduce cost by substantially automating processes such as diagnosis, scheduling and design. A case-based reasoner works by matching new problems to "cases" from a historical database and then adapting successful solutions from the past to current situations. Organizations as diverse as IBM, VISA International, Volkswagen, British Airways, and NASA have already made use of...
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Case-based reasoning (CBR) is an intelligent-systems method that enables information managers to increase efficiency and reduce cost by substantially automating processes such as diagnosis, scheduling and design. A case-based reasoner works by matching new problems to "cases" from a historical database and then adapting successful solutions from the past to current situations. Organizations as diverse as IBM, VISA International, Volkswagen, British Airways, and NASA have already made use of CBR in applications such as customer support, quality assurance, aircraft maintenance, process planning, and decision support, and many more applications are easily imaginable.It is relatively simple to add CBR components to existing information systems, as this book demonstrates. The author explains the principles of CBR by describing its origins and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Through case studies and step-by-step examples, he goes on to show how to design and implement a reliable, robust CBR system in a real-world environment. Additional resources are provided in a survey of commercially available CBR tools, a comprehensive bibliography, and a listing of companies providing CBR software and services. Booknews Explains principles of case-based reasoning (CBR) by describing its origins and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Surveys commercially available CBR tools, lists companies providing software and services, and offers a comprehensive bibliography of CBR research. Case studies and step-by-step examples show how to design and implement a robust CBR system in a real-world environment. Suitable for general software and programming professionals, MIS and IT managers, and students without extensive background in AI or computer science. Annotation c. by Book News, Inc., Portland, Or.
PrefaceCh. 1What Is Case-Based Reasoning?1Ch. 2Understanding CBR15Ch. 3The Application of CBR39Ch. 4Industrial Applications of CBR61Ch. 5CBR and Customer Service89Ch. 6CBR Software Tools117Ch. 7Building a Diagnostic Case-Base153Ch. 8Building, Testing, and Maintaining Case-Bases175Ch. 9Conclusion197Ch. 10Bibliography215Index285
\ BooknewsExplains principles of case-based reasoning (CBR) by describing its origins and contrasting it with familiar information disciplines such as traditional data processing, logic programming, rule-based expert systems, and object-oriented programming. Surveys commercially available CBR tools, lists companies providing software and services, and offers a comprehensive bibliography of CBR research. Case studies and step-by-step examples show how to design and implement a robust CBR system in a real-world environment. Suitable for general software and programming professionals, MIS and IT managers, and students without extensive background in AI or computer science. Annotation c. by Book News, Inc., Portland, Or.\ \
