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CBR 2019 : International Workshop Case-Based Reasoning CBR-MD 2019

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Link: http://www.data-mining-forum.de/w_casebased.php
 
When Jul 19, 2019 - Jul 19, 2019
Where New York
Submission Deadline Mar 20, 2019
Notification Due Apr 20, 2019
Final Version Due May 12, 2019
Categories    case-based-reasoning   machine learning   data mining   clustering
 

Call For Papers

CBR
International Workshop Case-Based Reasoning CBR-MD 2019

July 19th, 2019, New York / USA
Workshop Chair

Sylvia Schmiedel, Institute of Computer Vision and applied Computer Sciences, IBaI, Germany

Program Committee

Nikolay Burlutskiy, University of Brighton, Sweden
Bill Cheetham, Rensselaer Polytechnic Institute, USA
Hadj Hamma Tadjine,IAV GmbH, Germany
Habib Hadj-Mabrouk, Universitè de Technologie de Compiègne, Spain
Martin Hofmann-Apitius, University of Bonn, Germany
Jose M. Juarez, Universidad de Murcia, Spain
Josè Tomàs Palma Mèndez, Universitad de Murcia, Spain
Miquel Sánchez-Marrè FiEMSs, Universistat Politèchnica De Catalunya, Spain
Andreu Sancho Asensio, Accenture Digital, Universitat Ramon Llull, Spain)
Maria Salamo, University of Barcelona, Spain
Rainer Schmidt, University of Rostock, Germany
Feng YU, Harbin Institute of Technology, China

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

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 http://www.springer.de/comp/lncs/authors.html.

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

Related Resources

CBR@FLAIRS 2019   CBR@FLAIRS 2019 : FLAIRS-32 Special Track on Case-Based Reasoning
ICMLA 2019   18th IEEE International Conference on Machine Learning and Applications
ICCBR 2019   International Conference on Case-Based Reasoning 2019
IEEE BigData 2019   IEEE International Conference on Big Data
AAAI 2020   The Thirty-Fourth AAAI Conference on Artificial Intelligence
WSDM 2020   ACM International Conference on Web Search and Data Mining
CBR 2020   Bicentenary of the 1820 Revolution International Congress
FAIML 2019   2019 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2019)
GWEM 2019   8th German Workshop on Experience Management
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics