Case Based Reasoning: Fundamentals and Applications

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What Is Case Based Reasoning


In the fields of artificial intelligence and philosophy, case-based reasoning (CBR) refers to the method of finding answers to new problems by analyzing the resolutions of problems that are analogous to those that have been encountered in the past.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Case-based reasoning


Chapter 2: Search algorithm


Chapter 3: Machine learning


Chapter 4: Natural-language understanding


Chapter 5: Symbolic artificial intelligence


Chapter 6: Learning classifier system


Chapter 7: Reasoning system


Chapter 8: Inductive reasoning


Chapter 9: History of natural language processing


Chapter 10: Outline of machine learning


(II) Answering the public top questions about case based reasoning.


(III) Real world examples for the usage of case based reasoning in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of case based reasoning' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of case based reasoning.

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Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. Fouad has more than 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

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