This book deals with experience management in the context of real-world applicability and realistic applications. A particular focus is given by the requirements that arise in complex problem solving and by the fact that modern experience management must be implemented as Internet-based applications. Concrete application areas that are discussed in this book are electronic commerce, diagnosis of complex technical equipment, and electronic design reuse. This book explores how experience management can be supported by information technology, especially by techniques that stem from knowledge-based systems, case-based reasoning, machine learning, and process modeling. It surveys different methods in a unified terminology and investigates them with respect to application requirements. Further, the process of application development and maintenance is highlighted, pointing out successful practically proven ways for obtaining and operating experience management applications.
"synopsis" may belong to another edition of this title.
Experience Management Giving a focus to the requirements that arise in complex problem solving and to the fact that modern experience management must be implemented as Internet-based applications, this title deals with with experience management in the context of real-world applicability and realistic applications.
From the reviews of the first edition:
"In the text the main conceptual questions for experience management are identified and a framework for this management is proposed. A large body of principal methods are analyzed and presented in a unified and concise terminology. ... I think that each reader of this book will meet the wish of the author expressed at the end of the preface – enjoy reading!" (Antonín Ríha, Zentralblatt MATH, Vol. 1069, 2005)
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Condition: New. Giving a focus to the requirements that arise in complex problem solving and to the fact that modern experience management must be implemented as Internet-based applications, this title deals with with experience management in the context of real-world applicability and realistic applications. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 398 pages, biography. BIC Classification: KJE; KJM; UDB; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 21. Weight in Grams: 586. . 2002. Paperback. . . . . Seller Inventory # V9783540441915