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International Workshop Case-Based Reasoning CBR-MD 2019

CBR-MD 2019

The goals of this workshop are to:

  • provide a forum for identifying important contributions and opportunities for research on case-based reasoning
  • promote the systematic study of how to apply case-based reasoning to different applications show case applications of case-based reasoning

The papers will be reviewed by the International Program Committee of ICDM

Topics of interest include (but are not limited to):

  • CBR for signals, images, video, audio and text
  • Similarity assessment, Similarity Measures, Categorization of Similarity Measures
  • Case representation and case mining
  • Retrieval and indexing
  • Conversational CBR
  • Meta-learning for model improvement and parameter setting for processing with CBR
  • Incremental model improvement by CBR
  • Case base maintenance for systems
  • Case authoring
  • Life-time of a CBR system
  • Measuring coverage of case bases
  • Ontology learning with CBR

Submission Requirements

All papers will be published in the workshop proceedings by ibai-publishing.

Paper submissions should be formatted according to Springer LNCS format, with a maximum of 15 pages. Author's instructions along with LaTeX and Word macro files are available on the web at

Please submit the electronic version of your camera-ready paper to EasyChair CBR-MD 2019.

Important Dates

  • Submission Deadline: March 20th, 2019
  • Notification Date: April 30th, 2019
  • Camera-Ready Deadline: May 12th, 2019
  • Workshop date: July 14th, 2019

After the conference, authors are invited to submit a revised version of their paper to the International Journal Transactions on Case-Based Reasoning of the ibai publishing house. Please submit a revised version of your paper after the conference to info@


19 Jul 2019 @ 12:00 am

19 Jul 2019 @ 12:01 am

Duration: 0 hours, 1 minutes


Hotel Pennsylvania

401 7th Ave

NY 10001 New York

United States

Organised by

Institute of Computer Vision and applied Computer Sciences IBaI

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