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| sedami:start [2022/06/24 10:35] – [Submission details] sbk | 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, | ||
| - | The 2nd edition of SEDAMI will be co-located with the [[https://2022.ecmlpkdd.org/|European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | + | The 2nd edition of SEDAMI will be co-located with the [[https://ecai2023.eu/|26th European Conference on Artificial Intelligence |
| - | The [[start2021|1st edition of SEDAMI]] was co-located with [[https:// | + | The [[start2021|1st edition of SEDAMI]] was co-located with [[https:// |
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| + | ====== 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 ===== | ||
| + | The presentation should be around 15 minutes with 5 minutes for questions. | ||
| + | The total time reserved from one presentation is 20 minutes. | ||
| + | |||
| + | ^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// | | ||
| - | ====== SEDAMI 2022 at ECML PKDD 2022 ====== | ||
| **Organising committee** | **Organising committee** | ||
| - | * Grzegorz J. Nalepa, | ||
| - | * Martin Atzmueller, | ||
| * Szymon Bobek, | * Szymon Bobek, | ||
| + | * Martin Atzmueller, | ||
| * Nada Lavrac, Jožef Stefan Institute, Slovenia | * Nada Lavrac, Jožef Stefan Institute, Slovenia | ||
| ===== Important dates===== | ===== Important dates===== | ||
| - | * ** Submission Deadline: | + | * **Submission Deadline: |
| - | * //We plan to have a rolling review process for late/ | + | * **Notification of Acceptance: |
| - | * ** Notification of Acceptance: | + | * **Camera-Ready Versions Due: |
| - | * ** Camera-Ready Versions Due: | + | * **Workshop date: |
| - | * ** Workshop date:** September | + | |
| ===== Call for papers ===== | ===== Call for papers ===== | ||
| - | {{ :sedami:sedami2022-cfp1.pdf |Call For Papers | + | * Full CFP: {{ :sedami:sedami2023-cfp.pdf |Call for papers}} |
| + | * One-pager: {{ : | ||
| ===== Aims and Scope ===== | ===== 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, | ||
| Line 45: | Line 62: | ||
| topics which include but are not limited to: | topics which include but are not limited to: | ||
| - | * Workshop topics include (but are not limited to): | + | |
| - | | + | * Explainable artificial intelligence and domain knowledge |
| - | * Declarative domain knowledge | + | |
| - | * Declarative data mining | + | * Declarative data mining |
| - | * Knowledge | + | * Declarative explainable artificial intelligence |
| - | * Feature engineering for transparency and explanation | + | * Integration of causal machine learning and expert knowledge |
| - | * Knowledge-based data mining approaches | + | * Neuro-symbolic artificial intelligence |
| - | * Knowledge-graphs in data mining | + | |
| - | * Interpretable models in data mining | + | * Feature engineering for transparency and explanation |
| - | * Role of explanations in data mining | + | * Knowledge-based data mining approaches |
| - | * Inductive logic programming and data mining | + | * Knowledge-graphs in data mining |
| - | * Transparent and hybrid models in data mining | + | * Interpretable models in data mining |
| - | * Human in the loop of the data mining process | + | * Role of explanations in data mining |
| - | * Role of Linked Open Data in data mining | + | * Inductive logic programming and data mining |
| - | * Applications of all of the above | + | * Transparent and hybrid models in data mining |
| + | * Human in the loop of the data mining process | ||
| + | * Role of Linked Open Data in data mining | ||
| + | * 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 | ||
| + | * 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 | ||
| - | TBA | ||
| ===== Submission details ===== | ===== Submission details ===== | ||
| - | Please submit papers using the dedicated [[https:// | ||
| - | We are accepting short papers – 5-6 pages with references, and long papers – 10-12 pages including references. | ||
| - | The papers need to be prepared in LNCS format (see below). | ||
| - | Papers are to be submitted via Easychair. | ||
| - | Workshop post-proceedings will be made available via CEUR-WS. | ||
| - | A post workshop journal publication is considered. | ||
| - | All submitted papers must | + | {{: |
| + | |||
| + | Please submit papers using the dedicated [[https:// | ||
| + | |||
| + | Furthermore, | ||
| + | |||
| + | All submitted papers must: | ||
| * be written in English; | * be written in English; | ||
| * contain author names, affiliations, | * contain author names, affiliations, | ||
| - | * be formatted according to the CEUR-WS template http://ceur-ws.org/Vol-XXX/CEURART.zip | + | * be formatted according to the [[https://www.springer.com/ |
| * 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). | ||
| + | |||
