KDML 2019

Schedule

Monday

Joint Session

16:00 - 17:00, Salzufer 6

• Aleksandar Bojchevski and Stephan Günnemann: Adversarial Attacks on Node Embeddings via Graph Poisoning (long paper, 30 minutes)

Poster Session

17:00 - 19:00, Salzufer 6

• Parisa Shayan, Roberto Rondinelli, Menno van Zaanen and Martin Atzmueller: Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context
• Stefan Bloemheuvel, Benjamin Kloepper and Martin Atzmueller: Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs
• Aleksandar Bojchevski and Stephan Günnemann: Adversarial Attacks on Node Embeddings via Graph Poisoning
• Felix Gonsior, Nico Piatkowski and Katharina Morik: Another view on optimization as probabilistic inference
• Mirko Bunse and Katharina Morik: What Can We Expect from Active Class Selection?
• Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour and Thomas Seidl: CODEC - Detecting Linear Correlations in Dense Clusters using Comedian-based PCA
• Annika Pick, Tamas Horvath and Stefan Wrobel: Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing
• Christian Beyer, Vishnu Unnikrishnan, Eirini Ntoutsi and Myra Spiliopoulou: Ensemble and Entity-centric stream mining

Tuesday

Parallel Session 1

10:45 - 12:15, Dorotheenstraße 26, room 208

• Amal Saadallah, Florian Priebe and Katharina Morik: Drift-based Dynamic Ensemble Members Selection using Clustering for time series forecasting (long paper, 15 minutes)
• Sascha Mücke, Nico Piatkowski and Katharina Morik: Learning Bit by Bit: Extracting the Essence of Machine Learning (long paper, 15 minutes, slides)
• Daniyal Kazempour, Anna Beer, Oliver Schrüfer and Thomas Seidl: Clustering Trend Data Time-Series through Segmentation of FFT-decomposed Signal Constituents (long paper, 15 minutes)
• Sibylle Hess, Wouter Duivesteijn, Philipp Honysz and Katharina Morik: The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering (long paper, 15 minutes, slides)
• Anna Beer, Nadine Sarah Schüler and Thomas Seidl: A Generator for Subspace Clusters (short paper, 7 minutes)
• Daniyal Kazempour, Long Mathias Yan and Thomas Seidl: From Covariance to Comode in context of Principal Component Analysis (short paper, 7 minutes)
• Maximilian Archimedes Xaver Hünemörder, Anna Beer, Daniyal Kazempour and Thomas Seidl: CODEC - Detecting Linear Correlations in Dense Clusters with Comedian-based PCA (short paper, 7 minutes)
• Raphael Fischer, Nico Piatkowski and Katharina Morik: Parameter Sharing for Spatio-Temporal Process Models (short paper, 7 minutes, slides)

Parallel Session 2

13:15 - 14:45, Dorotheenstraße 26, room 208

• Eduardo Brito, Bogdan Georgiev, Daniel Domingo-Fernández, Charles Hoyt and Christian Bauckhage: RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Domain-specific Rational Kernels (short paper, 7 minutes, slides)
• Pascal Welke, Tamas Horvath and Stefan Wrobel: Probabilistic and Exact Frequent Subtree Mining in Graphs Beyond Forests (long paper, 15 minutes, slides)
• Thomas Goerttler and Marius Kloft: Learning a Multimodal Prior Distribution for Generative Adverserial Nets (long paper, 15 minutes)
• Florian Seiffarth, Tamas Horvath and Stefan Wrobel: Maximal Closed Set and Half-Space Separations in Finite Closure Systems (long paper, 15 minutes, slides)
• Florian Richter, Florian Wahl, Alona Sydorova and Thomas Seidl: k-process: Model-Conformance-based Clustering of Process Instances (long paper, 15 minutes)
• Annika Pick, Tamas Horvath and Stefan Wrobel: Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing (short paper, 7 minutes)
• Christian Bauckhage, Nico Piatkowski, Rafet Sifa, Dirk Hecker and Stefan Wrobel: A QUBO Formulation of the k-Medoids Problem (long paper, 15 minutes)

Parallel Session 3

15:15 - 16:45, Dorotheenstraße 26, room 208

• Allan Sales, Leandro Balby Marinho and Adriano Veloso: Extended Summary: Media Bias Characterization in Brazilian Presidential Elections (long paper, 15 minutes, slides)
• Noor Jamaludeen, Vishnu Unnikrishnan, Maya Sekeran, Majed Ali, Le Anh Trang and Myra Spiliopoulou: Assessing the reliability of crowdsourced labels via Twitter (long paper, 15 minutes)
• Stefan Bloemheuvel, Benjamin Kloepper and Martin Atzmueller: Graph Summarization for Computational Sensemaking on Complex Industrial Event Logs (long paper, 15 minutes)
• Tobias Koopmann, Alexander Dallmann, Lena Hettinger, Thomas Niebler and Andreas Hotho: Extended Summary: On the right track! Analysing and predicting navigation success in Wikipedia (long paper, 15 minutes, slides)
• Mirko Bunse and Katharina Morik: What Can We Expect from Active Class Selection? (short paper, 7 minutes)
• Aissatou Diallo, Markus Zopf and Johannes Fürnkranz: Learning Analogy-Preserving Sentence Embeddings for Answer Selection (short paper, 7 minutes)
• Karsten Tymann, Matthias Lutz, Patrick Palsbröker and Carsten Gips: GerVADER - A German adaptation of the VADER sentiment analysis tool for social media texts (long paper, 15 minutes, slides)

Community Meeting

16:45 - 17:45, Dorotheenstraße 26, room 208

Please attend - we will discuss the latest news from FG KDML and also where to host LWDA 2020.

Wednesday

Parallel Session 4

09:00 - 10:30, Dorotheenstraße 26, room 208

• Markus Ring, Daniel Schlör, Dieter Landes and Andreas Hotho: Extended Summary: Flow-based network traffic generation using Generative Adversarial Networks (long paper, 15 minutes, slides)
• Parisa Shayan, Roberto Rondinelli, Menno van Zaanen and Martin Atzmueller: Descriptive Network Modeling and Analysis for Investigating User Acceptance in a Learning Management System Context (long paper, 15 minutes, slides)
• Christian Beyer, Vishnu Unnikrishnan, Eirini Ntoutsi and Myra Spiliopoulou: Extended Summary: Entity-Centric Stream Mining (long paper, 15 minutes)
• Nico Piatkowski: Hyper-Parameter-Free Generative Modelling with Deep Boltzmann Trees (long paper, 15 minutes)
• Sebastian Wankerl, Gerhard Götz and Andreas Hotho: Solving Mathematical Exercises: Prediction of Student’s Success (short paper, 7 minutes)
• Janina Sontheim, Florian Richter and Thomas Seidl: Temporal Deviations on Event Sequences (short paper, 7 minutes)
• Christian Bauckhage, Rafet Sifa, Dirk Hecker and Stefan Wrobel: Max-Sum Dispersion via Quantum Annealing (short paper, 7 minutes)
• Felix Gonsior, Nico Piatkowski and Katharina Morik: Another view on optimization as probabilistic inference (short paper, 7 minutes)

Call for Papers

KDML is a workshop series that aims at bringing together the German Machine Learning and Data Mining community. The KDML 2019 Workshop is co-located with the annual LWDA 2019 – Learning, Knowledge, Data, and Analysis – conference and will take place from September 30, 2019 to October 2, 2019, at the Humboldt-Universität zu Berlin.

LATEST: Submission deadline EXTENDED to June 24, 2019 - for long and short papers.

News: We are proud to feature Isabel Valera, Max Planck Institute of Intelligent Systems, Tuebingen, Germany, as our invited keynote speaker.

We invite submissions on all aspects of data mining, knowledge discovery, and machine learning. In addition to original research, we also invite resubmissions of recently published articles at major conference venues related to KDML. Moreover, KDML explicitly invites student submissions.

Topics of interest include but are not limited to

• Foundations, models, and theory of machine learning and data mining
• Supervised, semi-supervised, and unsupervised learning
• Rule-based learning and pattern mining
• Multi-objective learning
• Deep learning
• Representation and embedding learning
• Time series; spatiotemporal data mining, mining sequences, stream mining
• Unstructured, semi-structured, multi-modal data mining
• Network, graph, and Web mining
• Parallel and Distributed data mining
• Applications of data mining and machine learning in all domains including healthcare, financial sector, environment, engineering, the Web
• Open source frameworks and tools for data mining and machine learning

Types of Submissions

We solicit new contributions (up to 12 pages, peer-reviewed and to be published by lwda2019). Shorter contributions (4 pages) are also solicited. We welcome submissions in English and German, however, English is preferred. All papers must be formatted according to the Springer LNCS guidelines. All contributions must be submitted via EasyChair using the link: https://easychair.org/conferences/?conf=lwda2019; only PDF is permitted. Please select the track `FG-KDML’ for your submission.

We further welcome submissions of recently accepted works at top-tier international venues related to KDML (e.g., KDD, ECML, ICML, NIPS, IJCAI, AAAI, ICDM, SDM, etc.). These will not be reviewed but selected by the PC chairs. They will not be included in the LWDA proceedings.

Evaluation process and publication of unpublished submissions

Each submission will be reviewed by at least two independent reviewers. The conference proceedings shall be published as CEUR Workshop Proceedings and will be indexed by DBLP.

Participation and presentations

All workshop participants have to register for the LWDA 2019 conference. Papers will be accepted for either long (30 min) or short (10 min) presentations; authors are expected to also make a poster presentation of their work.

Important Dates

• Submission deadline: June 14, 2019 June 24, 2019 (11:55pm AOE)
• Notification of acceptance: July 19, 2019
• Camera-ready copy: August 23, 2019
• LWDA 2019 Conference: September 30 - October 2, 2019

Workshop Organization

• Prof. Dr. Myra Spiliopoulou, Otto-von-Guericke-University Magdeburg
• Prof. Dr. Eirini Ntoutsi, Gottfried Wilhelm Leibniz Universität Hannover

Program Committee

• Klaus-Dieter Althoff, DFKI / University of Hildesheim
• Martin Atzmueller, Tilburg University
• Christian Bauckhage, Fraunhofer
• Johannes Fürnkranz, TU Darmstadt
• Rainer Gemulla, Universität Mannheim
• Joachim Giesen, Friedrich-Schiller Universitaet Jena
• Goran Glavaš, University of Mannheim
• Stephan Günnemann, Technical University of Munich
• Marwan Hassani Eindhoven, University of Technology
• Andreas Hotho, University of Wuerzburg
• Peer Kröger, Ludwig Maximilian University of Munich
• Florian Lemmerich, RWTH Aachen University
• Thomas Liebig, Technische Universität Dortmund
• Nico Piatkowski, Technische Universität Dortmund
• Petar Ristoski, IBM Research-Almaden
• Ute Schmid, University of Bamberg
• Erich Schubert, Technische Universität Dortmund
• Matthias Schubert, Ludwig Maximilian University of Munich
• Thomas Seidl, Ludwig-Maximilians-Universitaet Muenchen
• Maryam Tavakol, Technische Universität Dortmund
• Isabel Valera, MPI for Intelligent Systems
• Matthias Weidlich, Humboldt-Universität zu Berlin
• Stefan Wrobel, Fraunhofer IAIS & Univ. of Bonn
• Arthur Zimek, University of Southern Denmark