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sedami:start [2021/03/26 14:14] – [Submission details] sbk | sedami:start [2023/09/26 10:26] – [SEDAMI 2023 at ECAI 2023] sbk | ||
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====== The Semantic Data Mining (SEDAMI) Workshop ====== | ====== The Semantic Data Mining (SEDAMI) Workshop ====== | ||
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+ | **SEDAMI webapge is [[http:// | ||
The theme of the SEDAMI workshop is semantic data mining. With this workshop we aim to get an insight into the current status of research in this area. We focus mainly on methods that allow include/ | The theme of the SEDAMI workshop is semantic data mining. With this workshop we aim to get an insight into the current status of research in this area. We focus mainly on methods that allow include/ | ||
We encourage contributions on methods, techniques and applications that are both domain-specific but also transversal to different application domains. In particular, we solicit contributions that aim to focus on semantic data mining for providing and/or enhancing interpretability, | We encourage contributions on methods, techniques and applications that are both domain-specific but also transversal to different application domains. In particular, we solicit contributions that aim to focus on semantic data mining for providing and/or enhancing interpretability, | ||
+ | The 2nd edition of SEDAMI will be co-located with the [[https:// | ||
- | ====== | + | The [[start2021|1st edition of SEDAMI]] was co-located with [[https:// |
- | ===== Call for papers | + | ====== SEDAMI 2023 at ECAI 2023 ====== |
+ | ====== Program ====== | ||
+ | * The workshop will take place on Sunday, October 1st | ||
+ | * Location: [[https:// | ||
+ | * Session starts at 9:00, see [[https:// | ||
+ | |||
+ | ===== Schedule ===== | ||
+ | ^Time^Accepted paper^ | ||
+ | | 09:00 - 09:20 | Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks \\ //Yunming Hui, Melisachew Wudage Chekol and Shihan Wang// | | ||
+ | | 09:20 - 09:40 | Visual patterns in an interactive app for analysis based on control charts and SHAP values \\ //Iwona Grabska-Gradzińska, | ||
+ | | 09:40 - 10:00 | Improving understandability of explanations with a usage of expert knowledge \\ //Maciej Szelążek, Szymon Bobek and Grzegorz J. Nalepa// | | ||
+ | | 10:00 - 10:20 | Post–Mining on Association Rule Bases \\ //Dietmar Seipel, Marcel Waleska, Daniel Weidner, Sven Rausch and Martin Atzmueller// | ||
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+ | **Organising committee** | ||
+ | |||
+ | * Szymon Bobek, | ||
+ | * Martin Atzmueller, | ||
+ | * Nada Lavrac, Jožef Stefan Institute, Slovenia | ||
+ | |||
+ | ===== Important dates===== | ||
+ | * **Submission Deadline:** 31.07.2023 | ||
+ | * **Notification of Acceptance: | ||
+ | * **Camera-Ready Versions Due:** < | ||
+ | * **Workshop date:** 30 September - 1 October 2023 | ||
+ | |||
+ | |||
+ | ===== Call for papers ===== | ||
- | ===== Motivation fro the workshop | + | * Full CFP: {{ : |
+ | * One-pager: {{ : | ||
+ | ===== Aims and Scope ===== | ||
The general goal of data mining is to uncover novel, interesting, | The general goal of data mining is to uncover novel, interesting, | ||
Thus, recent advances of data mining and machine learning apparently bring new challenges in its practical use in data mining, including interpretability, | Thus, recent advances of data mining and machine learning apparently bring new challenges in its practical use in data mining, including interpretability, | ||
Using semantic information such as domain/ | Using semantic information such as domain/ | ||
+ | |||
+ | The aim of this workshop, is to get an insight into the current status of research in semantic data mining, showing how to include/ | ||
+ | |||
+ | We encourage contributions on methods, techniques and applications that are both domain-specific but also transversal to different application domains. In particular, we solicit contributions that aim to focus on semantic data mining for providing and/or enhancing interpretability, | ||
===== Topics of interest ===== | ===== Topics of interest ===== | ||
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* Introduction of semantics into the data mining process | * Introduction of semantics into the data mining process | ||
+ | * Explainable artificial intelligence and domain knowledge | ||
* Declarative domain knowledge | * Declarative domain knowledge | ||
* Declarative data mining | * Declarative data mining | ||
- | * Knowledge | + | |
+ | * Integration of causal machine learning and expert knowledge | ||
+ | * Neuro-symbolic artificial intelligence | ||
+ | | ||
* Feature engineering for transparency and explanation | * Feature engineering for transparency and explanation | ||
* Knowledge-based data mining approaches | * Knowledge-based data mining approaches | ||
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* Applications of all of the above | * Applications of all of the above | ||
- | ===== Workshop format ===== | ||
- | We are aiming at the 0.5-day workshop that includes regular paper presentations of peer reviewed research papers (4-6 pages), as well as peer-reviewed short or position papers (2-4 pages). Furthemore, we encourage tool presentations. Depending on the number of submissions, | ||
+ | ===== Program Committee (tentative) ===== | ||
+ | * Sören Auer, Leibniz University of Hannover & TIB, Germany | ||
+ | * Klaus-Dieter Althoff, University of Hildesheim & DFKI, Germany | ||
+ | * Przemysław Biecek, Warsaw University of Technology, Poland | ||
+ | * Johannes Fürnkranz, Johannes Kepler University Linz, Austria | ||
+ | * João Gama, University of Porto, Portugal | ||
+ | * Kristian Kersting, TU Darmstadt, Germany | ||
+ | * Stan Matwin, Dalhousie University, Canada | ||
+ | * Sławomir Nowaczyk, Halmstad University, Sweden | ||
+ | * Jose Palma, Universidad de Murcia, Spain | ||
+ | * Mykola Pechenizkyi, | ||
+ | * Marc Plantevit, Université Lyon, France | ||
+ | * Eric Postma, Tilburg University, The Netherlands | ||
+ | * Céline Rouveirol, Université Sorbonne Paris Nord, France | ||
+ | * Ute Schmid, University of Bamberg, Germany | ||
+ | * Marek Sikora, Silesian University of Technology, Poland | ||
+ | * Dietmar Seipel, University of Würzburg, Germany | ||
+ | * Blaž Škrlj, Jožef Stefan Institute, Slovenia | ||
+ | * Jerzy Stefanowski, | ||
+ | * Stefano Teso, KU Leuven, Belgium | ||
+ | * Gerhard Weikum, Max Planck Institute for Informatics, | ||
+ | * Filip Železny, CTU, Prague, Czech Republic | ||
+ | * Agnieszka Ławrynowicz, | ||
+ | * Weronika T. Adrian, AGH UST, Krakow, Poland | ||
- | ===== Program Committee ===== | ||
- | ===== Important dates===== | ||
===== Submission details ===== | ===== Submission details ===== | ||
- | Please submit papers using the dedicated [[https://cmt3.research.microsoft.com/IJCAI2021|CMT installation Conference Management Toolkit]] We are accepting short papers – 5 pages with references, and long papers – 10 pages. We are encouraging both original research papers, as well position papers. All submissions should be formatted using the [[https:// | + | |
+ | {{: | ||
+ | |||
+ | Please submit papers using the dedicated [[https://easychair.org/ | ||
+ | |||
+ | Furthermore, | ||
+ | |||
+ | All submitted papers must: | ||
+ | * be written in English; | ||
+ | * contain author names, affiliations, | ||
+ | * be formatted according to the [[https:// | ||
+ | * be in PDF (make sure that the PDF can be viewed on any platform). | ||