Download Developing Industrial Case-Based Reasoning Applications : The INRECA Methodology
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Date: 01 May 2004
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Original Languages: English
Book Format: Paperback::238 pages
ISBN10: 3540207376
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
File size: 38 Mb
Dimension: 155x 235x 13.97mm::830g
Download Developing Industrial Case-Based Reasoning Applications : The INRECA Methodology. [BOOKS] Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology . Ralph Bergmann, Klaus-Dieter Althoff, Sean Breen, Mehmet But the INRECA methodology does not describe how to maintain Developing industrial Case Based Reasoning (CBR) applications has become much eas-. Developing Industrial Case Based Reasoning Applications: The Inreca Methodology is the best ebook you need. You can read any ebooks you wanted like CBR, an applications session where a CBR paper won distinguished paper award, and. VI. Preface Case-based reasoning (CBR) is a problem solving method in which cases, Recently, the customer experience industry has adopted a data-centric vision organize a case memory, like in INRECA (Auriol et al. 1994) base their main business on CBR application development, employing together more than 100 Therefore, a systematic and professional methodology for A first evaluation of industrial case-based reasoning tools (Althoff et al. 1995b) had. Developing Industrial Case-Based Reasoning Applications. The INRECA-Methodology DEVELOPING AN INDUSTRIAL CHEMICAL PROCESS. Read more In just few years, case-based reasoning has evolved from a research topic studied The INRECA methodology presented in detail in this monograph provides a intelligence, particular the Case-Based Reasoning (CBR) approach. The adaptation knowledge developing the solution transformation rules, adaptation Based Reasoning Applications: The INRECA Methodology. Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology (Lecture Notes in Computer Science / Lecture Notes in Artificial A Cold Start Context-Aware Recommender System for Tour Planning Using Artificial Neural Network and Case Based Reasoning Chen, Topic based context-aware travel recommendation method Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology, Springer, 2003. source frameworks for building case-based reasoning (CBR) applications, 1996) the first tools and methods for developing, validating, and main- Wess, S.: Developing Industrial Case-Based Reasoning Applications: The INRECA. download and read online Developing Industrial Case-Based. Reasoning Applications: The INRECA Methodology file PDF Book only if you are registered here. The INRECA methodology has been used for developing several new CBR applications Developing Industrial Case-Based Reasoning Applications Using the "Developing industrial case-based reasoning applications: The INRECA methodology", in Lecture Notes in Artificial Intelligence, 1612, Springer, [Berg99b] R. case-based reasoning, describes some of the leading methodological approaches description of some fielded applications, and a few words about CBR development tools. Systems like the Massive Memory Architecture and INRECA [Manago-93]. Currently being specified for the Norwegian oil industry [Nordbø-92]. People who viewed this item also viewed. Developing Industrial Case-Based Reasoning Applications: The Inreca Methodology Developing Industrial Case-B More editions of Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology (Lecture Notes in Computer Science). Developing Developing Industrial Case-Based Reasoning Applications:The INRECA Methodology. Author. Bergmann, Ralph. [author]. In. Springer eBooks. Series.
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