DS 2013 - The Computer Journal Special Issue on Discovery Science (DS)
Topics/Call fo Papers
Special Issue on Discovery Science (DS)"
The Computer Journal is soliciting submissions based on an open call for papers for a Special Issue on Discovery Science (DS) to provide a leading forum for timely, in-depth presentation of recent advances in algorithms, theories and applications in the field of DS, which is a scientific discipline on any discovery process that is mainly approached by computer science.
Highly relevant research fields are knowledge discovery in databases and scientific discovery, followed by machine learning and statistics. Data mining and data analysis may be considered as fruitful applications. Research in DS is more descriptive than predictive, focuses more on interestingness than accuracy, usually tends to focus on a part of the example space rather than the whole, and may be applied to both labeled and unlabeled data.
DS first started as a national project for investigating a scientific approach to the automated discovery process in Japan, involving more than 100 researchers in 1998. This project gave birth to a series of international conferences with the same name, which have been held successfully thirteen times since 1998. This special issue capitalises on the success of the DS conferences, but also provides an open competition for all researchers who wish to present relevant research results.
Prior to submitting to this special issue, a submission to DS2011 or the special session on DS at ISCIS 2011 is highly encouraged, as we plan to share some of the reviewers with these conferences. We expect that a paper accepted to one of these conferences will be extended and improved based on the comments of the reviewers and the appropriateness of the extensions will also be evaluated by the same reviewers in editing this special issue.
Papers are solicited concerning automatic scientific knowledge discovery, data mining, machine learning, intelligent data analysis, theory of learning, and their application to knowledge discovery.
Contributions should be submitted via The Computer Journal's online submission system, Manuscript Central, at http://mc.manuscriptcentral.com/compj.
Submissions should be accompanied by a cover letter that clearly states that the submission is for the Special Issue on Discovery Science.
All submitted papers will be reviewed on the basis of originality, quality and relevance to this Special Issue and the journal.
**Important dates**
Submission deadline: 30 November 2011
Publication date: 2012 or early 2013.
**Guest editor**
Einoshin Suzuki, Kyushu University, Japan.
Editorial committee:
Michael Berthold (Universität Konstanz, Germany)
Luc De Raedt (Katholieke Universiteit Leuven, Belgium)
Dragan Gamberger (Ruđer Bošković Institute, Croatia)
João Gama (University of Porto, Portugal)
Alípio M. Jorge (University of Porto, Portugal)
Stefan Kramer (Technische Universität München, Germany)
Nada Lavrač (Jožef Stefan Institute & University of Nova Gorica, Slovenia)
Hannu Toivonen (University of Helsinki, Finland)
**Related links**
What is Discovery Science?,
Archives of International Conference on Discovery Science Series,
Fourteenth International Conference on Discovery Science (DS 2011)
The Computer Journal is soliciting submissions based on an open call for papers for a Special Issue on Discovery Science (DS) to provide a leading forum for timely, in-depth presentation of recent advances in algorithms, theories and applications in the field of DS, which is a scientific discipline on any discovery process that is mainly approached by computer science.
Highly relevant research fields are knowledge discovery in databases and scientific discovery, followed by machine learning and statistics. Data mining and data analysis may be considered as fruitful applications. Research in DS is more descriptive than predictive, focuses more on interestingness than accuracy, usually tends to focus on a part of the example space rather than the whole, and may be applied to both labeled and unlabeled data.
DS first started as a national project for investigating a scientific approach to the automated discovery process in Japan, involving more than 100 researchers in 1998. This project gave birth to a series of international conferences with the same name, which have been held successfully thirteen times since 1998. This special issue capitalises on the success of the DS conferences, but also provides an open competition for all researchers who wish to present relevant research results.
Prior to submitting to this special issue, a submission to DS2011 or the special session on DS at ISCIS 2011 is highly encouraged, as we plan to share some of the reviewers with these conferences. We expect that a paper accepted to one of these conferences will be extended and improved based on the comments of the reviewers and the appropriateness of the extensions will also be evaluated by the same reviewers in editing this special issue.
Papers are solicited concerning automatic scientific knowledge discovery, data mining, machine learning, intelligent data analysis, theory of learning, and their application to knowledge discovery.
Contributions should be submitted via The Computer Journal's online submission system, Manuscript Central, at http://mc.manuscriptcentral.com/compj.
Submissions should be accompanied by a cover letter that clearly states that the submission is for the Special Issue on Discovery Science.
All submitted papers will be reviewed on the basis of originality, quality and relevance to this Special Issue and the journal.
**Important dates**
Submission deadline: 30 November 2011
Publication date: 2012 or early 2013.
**Guest editor**
Einoshin Suzuki, Kyushu University, Japan.
Editorial committee:
Michael Berthold (Universität Konstanz, Germany)
Luc De Raedt (Katholieke Universiteit Leuven, Belgium)
Dragan Gamberger (Ruđer Bošković Institute, Croatia)
João Gama (University of Porto, Portugal)
Alípio M. Jorge (University of Porto, Portugal)
Stefan Kramer (Technische Universität München, Germany)
Nada Lavrač (Jožef Stefan Institute & University of Nova Gorica, Slovenia)
Hannu Toivonen (University of Helsinki, Finland)
**Related links**
What is Discovery Science?,
Archives of International Conference on Discovery Science Series,
Fourteenth International Conference on Discovery Science (DS 2011)
Other CFPs
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- The Computer Journal Special Issue on 3D VLSI System Integration
- The Computer Journal Special Issue on Algebraic & Logical Methods for Data & Modelling
- The Computer Journal Special Issue on on Dependable Software Systems
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Last modified: 2011-11-14 09:22:16