Case-Based Reasoning A Textbook /

• Κύριοι συγγραφείς: Richter, Michael M. (Συγγραφέας), Weber, Rosina O. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Computers.; Artificial intelligence.; Application software.; Computer Science.; Artificial Intelligence (incl. Robotics).; IT in Business.; Information Systems and Communication Service.; Computer Applications.

While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based rea­soning (CBR) can be viewed as experience mining, with analogical reasoning applied to pro...

Πίνακας περιεχομένων:

• Part I - Basics and Preliminaries
• Chap. 1 - Introduction
• Chap. 2 - Basic CBR Elements
• Chap. 3 - Extended View
• Chap. 4 - Application Examples
• Part II - Core Methods
• Chap. 5 - Case Representations
• Chap. 6 - Basic Similarity Topics
• Chap. 7 - Complex Similarity Topics
• Chap. 8 - Retrieval
• Chap. 9 - Adaptation
• Chap. 10 - Evaluation, Revisions, and Learning
• Chap. 11 - Development and Maintenance
• Part III - Advanced Elements
• Chap. 12 - Advanced CBR Elements
• Chap. 13 - Advanced Similarity Topics
• Chap. 14 - Advanced Retrieval
• Chap. 15 - Uncertainty
• Chap. 16 - Probabilities
• Part IV - Complex Knowledge Sources
• Chap. 17 - Textual CBR
• Chap. 18 - Images
• Chap. 19 - Sensor Data and Speech
• Chap. 20 - Conversational CBR
• Chap. 21 - Knowledge Management
• Part V - Appendices
• Chap. 22 - Basic Formal Definitions and Methods
• Chap. 23 - Relations and Comparisons with Other Techniques.