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sedami:start [2021/08/20 15:05] – [Schedule] 2papers gjn | sedami:start [2023/09/29 06:57] (current) – [Schedule] sbk | ||
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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, | ||
- | **Organising committee** | + | The 2nd edition of SEDAMI will be co-located with the [[https:// |
- | * Martin Atzmueller, | + | The [[start2021|1st edition of SEDAMI]] was co-located with [[https:// |
- | * Grzegorz J. Nalepa, | + | |
- | * Szymon Bobek, | + | |
- | * Nada Lavrac, Jožef Stefan Institute, Slovenia | + | |
- | ====== | + | |
- | ===== Important dates===== | + | |
- | * ** Submission Deadline:** May 13, 2021 (AoE) | + | ====== SEDAMI 2023 at ECAI 2023 ====== |
- | * //We plan to have a rolling review process for late/ | + | |
- | * ** Notification of Acceptance: | + | ====== Program ====== |
- | * ** Camera-Ready Versions Due:** June 6, 2021 (AoE) | + | * The workshop will take place on Sunday, October 1st |
- | * ** Workshop date:** August 21-26, 2021 | + | * Location: [[https://maps.app.goo.gl/A4VV2HTryfdaa5E36|WMI]], |
+ | * Session starts at 9:00, see [[https:// | ||
===== Schedule ===== | ===== Schedule ===== | ||
+ | The presentation should be around 15 minutes with 5 minutes for questions. | ||
+ | The total time reserved from one presentation is 20 minutes. | ||
- | **Aug 20 10:00 – 13:30 Montreal Time (UTC-4)** | + | ^Time^Accepted paper^ |
+ | | 09:00 - 09:10 | Introduction to the workshop | | ||
+ | | 09:10 - 09:30 | Visual patterns in an interactive app for analysis based on control charts and SHAP values \\ //Iwona Grabska-Gradzińska, | ||
+ | | 09:30 - 09:50 | Improving understandability of explanations with a usage of expert knowledge \\ //Maciej Szelążek, Szymon Bobek and Grzegorz J. Nalepa// | | ||
+ | | 09:50 - 10:20 | Post–Mining on Association Rule Bases \\ //Dietmar Seipel, Marcel Waleska, Daniel Weidner, Sven Rausch and Martin Atzmueller// | ||
+ | | 10:20 - 10:30 | Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks \\ //Yunming Hui, Melisachew Wudage Chekol and Shihan Wang// | | ||
- | Please note, that all times are in UTC-4 (this is e.g., CEST-6 ... 10:00 UTC-4 is 16:00 CEST) | ||
- | **10: | ||
- | **10:15-11:45** Session 1 - Foundations (Chair: Szymon Bobek)\\ | + | **Organising committee** |
- | 10:15-10:45 Victor Guimarães and Vítor Costa: {{: | + | |
- | 10:45-11:15 Blaž Škrlj and Nada Lavrač: {{: | + | |
- | 11:15-11:45 Dietmar Seipel and Martin Atzmueller: {{: | + | |
- | **11:45-12:00** Break | + | |
+ | | ||
+ | | ||
- | **12:00-13:00** Session 2 - Modeling & Application (Chair: Nada Lavrac)\\ | + | ===== Important dates===== |
- | 12:00-12:30 Shaobo Wang, Guangliang Liu, Wenyan Zhu, Zengtao Jiao, Haichen Lv, Jun Yan and Yunlong Xia: {{: | + | |
- | 12:30-13:00 Dan Hudson, Leonid Schwenke, Stefan Bloemheuvel, | + | * **Notification of Acceptance:** < |
- | }} | + | * **Camera-Ready Versions Due:** < |
+ | * **Workshop date:** 30 September | ||
- | **13: | ||
===== Call for papers ===== | ===== Call for papers ===== | ||
- | {{ :sedami:sedami2021-cfp.pdf |Call For Papers | + | * Full CFP: {{ :sedami:sedami2023-cfp.pdf |Call for papers}} |
- | ===== Motivation for the workshop | + | * 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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topics which include but are not limited to: | topics which include but are not limited to: | ||
- | * Declarative data mining | ||
- | * Declarative domain knowledge | ||
- | * Knowledge modelling and data mining | ||
- | * Data mining and machine learning using ontologies | ||
* Introduction of semantics into the data mining process | * Introduction of semantics into the data mining process | ||
- | * Interpretable models in data mining | + | * Explainable artificial intelligence |
- | * Knowledge-based | + | * Declarative domain knowledge |
- | * Role of explanations in data mining and machine learning | + | * Declarative |
- | * Knowledge-graphs in data mining | + | * Declarative explainable artificial intelligence |
+ | * Integration | ||
+ | * Neuro-symbolic artificial intelligence | ||
+ | * Knowledge | ||
* Feature engineering for transparency and explanation | * Feature engineering for transparency and explanation | ||
- | * Transparent and hybrid | + | * Knowledge-based data mining approaches |
+ | * Knowledge-graphs in data mining | ||
+ | * Interpretable | ||
+ | * Role of explanations in data mining | ||
* Inductive logic programming and data mining | * Inductive logic programming and data mining | ||
+ | * Transparent and hybrid models in data mining | ||
* Human in the loop of the data mining process | * Human in the loop of the data mining process | ||
* Role of Linked Open Data in data mining | * Role of Linked Open Data in data mining | ||
* Applications of all of the above | * Applications of all of the above | ||
- | |||
- | |||
===== Program Committee (tentative) ===== | ===== Program Committee (tentative) ===== | ||
+ | * Sören Auer, Leibniz University of Hannover & TIB, Germany | ||
* Klaus-Dieter Althoff, University of Hildesheim & DFKI, Germany | * Klaus-Dieter Althoff, University of Hildesheim & DFKI, Germany | ||
- | * Martin Atzmueller, Osnabrück University, Germany | ||
* Przemysław Biecek, Warsaw University of Technology, Poland | * Przemysław Biecek, Warsaw University of Technology, Poland | ||
- | * Szymon Bobek, Jagiellonian | + | * Johannes Fürnkranz, Johannes Kepler |
- | * João Gama, University of Porto, Portugal | + | * João Gama, University of Porto, Portugal |
- | * Nada Lavrac, Jožef Stefan Institute, Slovenia | + | * Kristian Kersting, TU Darmstadt, Germany |
* Stan Matwin, Dalhousie University, Canada | * Stan Matwin, Dalhousie University, Canada | ||
- | * Grzegorz J. Nalepa, Jagiellonian University, Poland | ||
* Sławomir Nowaczyk, Halmstad University, Sweden | * Sławomir Nowaczyk, Halmstad University, Sweden | ||
* Jose Palma, Universidad de Murcia, Spain | * Jose Palma, Universidad de Murcia, Spain | ||
- | * Juan Pavon, Universidad Complutense de Madrid, Spain | + | * Mykola Pechenizkyi, TU Eindhoven, The Netherlands |
* Marc Plantevit, Université Lyon, France | * Marc Plantevit, Université Lyon, France | ||
* Eric Postma, Tilburg University, The Netherlands | * Eric Postma, Tilburg University, The Netherlands | ||
* Céline Rouveirol, Université Sorbonne Paris Nord, France | * Céline Rouveirol, Université Sorbonne Paris Nord, France | ||
+ | * Ute Schmid, University of Bamberg, Germany | ||
* Marek Sikora, Silesian University of Technology, Poland | * Marek Sikora, Silesian University of Technology, Poland | ||
+ | * Dietmar Seipel, University of Würzburg, Germany | ||
* Blaž Škrlj, Jožef Stefan Institute, Slovenia | * 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 | ||
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===== Submission details ===== | ===== Submission details ===== | ||
- | Please submit papers using the dedicated [[https:// | ||
- | Furthermore, | + | {{: |
+ | |||
+ | Please submit papers using the dedicated [[https:// | ||
+ | |||
+ | Furthermore, | ||
All submitted papers must: | All submitted papers must: | ||
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* be formatted according to the [[https:// | * be formatted according to the [[https:// | ||
* be in PDF (make sure that the PDF can be viewed on any platform). | * be in PDF (make sure that the PDF can be viewed on any platform). | ||
+ | |||