Developing Industrial Case-Based Reasoning Applications The INRECA Methodology /
Bergmann, Ralph.
Developing Industrial Case-Based Reasoning Applications The INRECA Methodology / [electronic resource] : by Ralph Bergmann, Klaus-Dieter Althoff, Sean Breen, Mehmet Göker, Michel Manago, Ralph Traphöner, Stefan Wess. - 2nd ed. 2003. - XXII, 238 p. online resource. - Lecture Notes in Artificial Intelligence, 1612 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 1612 .
About this Author -- About this Author -- Smarter Business with Case-Based Decision Support -- 1. Making Smarter Business Decisions in Less Time -- Case-Based Reasoning Approaches -- Selected Applications of the Structural Case-Based Reasoning Approach -- Developing Case-Based Application with the INRECA Methodology -- Practical Guidelines for Developing Case-Based Reasoning Applications -- 5. Professional Case-Based Reasoning Application Development -- 6. Documenting Case-Based Reasoning Development Experience -- Using the Methodology in Different Domains -- 7. Developing Case-Based Help-Desk Support Systems for Complex Technical Equipment -- 8. Developing Intelligent Catalog Search Applications -- 9. Developing Maintenance Applications -- 10. Developing Experience Factory Applications -- A. Compilation of INRECA Methodology Applications.
In just few years, case-based reasoning has evolved from a research topic studied at a small number of specialized academic labs into an industrial-strength technology applied in various fields. The INRECA methodology presented in detail in this monograph provides a data analysis framework for developing case-based reasoning solutions for successful applications in real-world industrial contexts. The book is divided into parts on: - smarter business with case-based decision support; - developing case-based applications using the INRECA methodology; and - using the methodology in various application domains. The book provides a self-contained introduction to case-based reasoning applications that address both R&D professionals and general IT managers interested in this powerful new technology. In this second edition, improvements and updates have been incorporated throughout the text. Particularly useful is the systematic coverage of experience factory applications at various steps; and, of course, the references have been extended substantially.
9783540409946
10.1007/b94998 doi
Artificial intelligence.
Information technology--Management.
Dynamics.
Nonlinear theories.
Operations research.
Artificial Intelligence.
Computer Application in Administrative Data Processing.
Applied Dynamical Systems.
Operations Research and Decision Theory.
Q334-342 TA347.A78
006.3
Developing Industrial Case-Based Reasoning Applications The INRECA Methodology / [electronic resource] : by Ralph Bergmann, Klaus-Dieter Althoff, Sean Breen, Mehmet Göker, Michel Manago, Ralph Traphöner, Stefan Wess. - 2nd ed. 2003. - XXII, 238 p. online resource. - Lecture Notes in Artificial Intelligence, 1612 2945-9141 ; . - Lecture Notes in Artificial Intelligence, 1612 .
About this Author -- About this Author -- Smarter Business with Case-Based Decision Support -- 1. Making Smarter Business Decisions in Less Time -- Case-Based Reasoning Approaches -- Selected Applications of the Structural Case-Based Reasoning Approach -- Developing Case-Based Application with the INRECA Methodology -- Practical Guidelines for Developing Case-Based Reasoning Applications -- 5. Professional Case-Based Reasoning Application Development -- 6. Documenting Case-Based Reasoning Development Experience -- Using the Methodology in Different Domains -- 7. Developing Case-Based Help-Desk Support Systems for Complex Technical Equipment -- 8. Developing Intelligent Catalog Search Applications -- 9. Developing Maintenance Applications -- 10. Developing Experience Factory Applications -- A. Compilation of INRECA Methodology Applications.
In just few years, case-based reasoning has evolved from a research topic studied at a small number of specialized academic labs into an industrial-strength technology applied in various fields. The INRECA methodology presented in detail in this monograph provides a data analysis framework for developing case-based reasoning solutions for successful applications in real-world industrial contexts. The book is divided into parts on: - smarter business with case-based decision support; - developing case-based applications using the INRECA methodology; and - using the methodology in various application domains. The book provides a self-contained introduction to case-based reasoning applications that address both R&D professionals and general IT managers interested in this powerful new technology. In this second edition, improvements and updates have been incorporated throughout the text. Particularly useful is the systematic coverage of experience factory applications at various steps; and, of course, the references have been extended substantially.
9783540409946
10.1007/b94998 doi
Artificial intelligence.
Information technology--Management.
Dynamics.
Nonlinear theories.
Operations research.
Artificial Intelligence.
Computer Application in Administrative Data Processing.
Applied Dynamical Systems.
Operations Research and Decision Theory.
Q334-342 TA347.A78
006.3