Join BookitisSave favorites, build lists, and follow creators.

Soft computing in case based reasoning

Work detail

Bookitis Pick
Cover for Soft computing in case based reasoning
SC
Image source: Open Library
Sankar K. PalTharam S. DillonDaniel S. Yeung1 editions

Soft Computing in Case Based Reasoning demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems. Comprising contributions from experts from all over the world, it: - Provides an introduction to CBR and soft computing, and the relevance of their integration - Evaluates the strengths and weaknesses of CBR in its current form - Presents recent developments and significant applications in domains such as data-mining, medical diagnosis, knowledge-based expert systems, banking, and forensic investigation - Addresses new information on developing intelligent systems This book will be of particular interest to graduate students and researchers in computer science, electrical engineering and information technology but it will also be of interest to researchers and practitioners in the fields of systems design, pattern recognition and data mining.

Overview

Shared work-level identity and catalog context.

3 credited authorsSearch language english

Bookitis keeps work pages focused on the shared book identity and the editions that actually belong to it. Unrelated books should not appear here as primary content.

Contributors

People credited with this work in the active catalog.

  • Sankar K. Pal

    Author profile in the active Bookitis catalog

    Open Author
  • Tharam S. Dillon

    Author profile in the active Bookitis catalog

    Open Author
  • Daniel S. Yeung

    Author profile in the active Bookitis catalog

    Open Author

Editions

Publication-specific versions linked to this work only.