Day 2: Thursday 23.8

Kerstin Bach: Personalized Self-Management: A Case-Based Reasoning Application for Low Back Pain Patients.

FGDB (A302)

• Benedikt Kleppmann, Christian Bizer and Edwin Yaqub: Density- and Correlation-based Table Extension
• Peter K. Schwab, Julian O. Matschinske, Andreas M. Wahl and Klaus Meyer-Wegener: Towards Query-Driven Data Minimization
• Tanja Auge and Andreas Heuer: The Theory behind Minimizing Research Data: Result equivalent CHASE-inverse Mappings

FGIR (A103)

• Andreas Spitz and Michael Gertz: Exploring Implicit Entity Networks and Topics in Streams of News Articles.
• Goran Glavaš, Federico Nanni and Simone Paolo Ponzetto: Cross-Lingual Classification of Topics in Political Texts
• Kiril Gashteovski, Rainer Gemulla and Luciano del Corro: MinIE: Minimizing Facts in Open Information Extraction
• Robert Litschko, Goran Glavaš, Simone Paolo Ponzetto and Ivan Vulić: Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only

FGWM (A101)

• Lukas Malburg, Nicolas Münster, Christian Zeyen and Ralph Bergmann: Query Model and Similarity-Based Retrieval for Workflow Reuse in Digital Humanities
• Christian Zeyen and Ralph Bergmann: Towards an interactive Workflow Modeling Assistance by Means of CBR
• Miriam Herold and Mirjam Minor: Ontology-based representation of Workflows
• Christian Meilicke, Henrik Leopold, Elena Kuss, Heiner Stuckenschmidt and Hajo A. Reijers: Ensemble-based Process Model Matching
• Alireza Moradpour and Mirjam Minor: Online-Learning für die Analyse von Finanz­markt­daten

KDML (A104)

• Christian Bauckhage, Rafet Sifa, Stefan Wrobel and Cesar Ojeda:  Adiabatic Quantum Computing for Kernel k=2 Means Clustering
• Erich Schubert, Sibylle Hess and Katharina Morik: The Relations­hip of DBSCAN to Matrix Factorization and Spectral Clustering
• Daniyal Kazempour and Thomas Seidl: Identifying Entangled Data Points on Iteration Trajectories of Clusterings
• Daniyal Kazempour, Andrian Mörtlbauer, Peer Kröger and Thomas Seidl: Mirror mirror on the wall, what is the fairest linear parameter space representation of all? On Representations of Linear Parameter Space in Context of Clustering
• Sibylle Hess, Nico Piatkowski and Katharina Morik: The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization

WSBI (A301)

• Julian Ereth: DataOps – Towards a Definition and Research Agenda
• Daniel Badura and Michael Schulz: Daten­kompetenzen für die Massen – Muss Self-Service-Data-Mining scheitern?
• Vera Fleißner, Kai Heinrich and Michael Seifert: Towards an Open Book Architecture for Deep Learning Networks: Data Properties and Network Architectures – Evidence from Time Series Analytics

Frank Giesler: Digital Product Design: Praktische Erfahrungen aus der Entwicklung datengetriebener digitaler Produkte.

FGDB (A302)

• Marcus Paradies, Sirko Schindler, Stephan Kiemle and Eberhard Mikusch: Large-Scale Data Management for Earth Observation Data – Challenges and Opportunities
• Andreas M. Wahl, Richard Lenz and Peter K. Schwab: Minimally-Intrusive Augmentation of Data Science Workflows
• Michael Offel, Han van der Aa and Matthias Weidlich: Towards Net-based Formal Methods for Complex Event Processing

FGIR (A103)

• Michael Loster, Manuel Hegner, Felix Naumann and Ulf Leser: Dissecting Company Names using Sequence Labeling
• Amit Kumar Jaiswal, Guilherme Holdack, Ingo Frommholz and Haiming Liu: Quantum-like Generalization of Complex Word Embedding: a lightweight approach for textual classification
• Johanna Munkelt, Philipp Schaer and Klaus Lepsky: Towards an IR Test Collection for the German National Library

FGWM (A101)

• Melisachew Wudage Chekol, Giuseppe Pirrò, Joerg Schoenfisch and Heiner Stuckenschmidt: Marrying Uncertainty and Time in Knowledge Graphs
• Michael Kohlhase: Towards Contexts Graphs for Argumentation Logics
• Viktor Eisenstadt and Klaus-Dieter Althoff: A Preliminary Survey of Explanation Facilities of AI-Based Design Support Approaches and Tools
• Jakob Michael Schoenborn and Klaus-Dieter Althoff: Using case-based explanations as a knowledge foundation
• Fabian Burzlaff: Next Steps in Knowledge Driven Architecture Composition

KDML (A104)

• Daniel Lückehe, Nicole Mühlpforte, Alfred Effenberg and Gabriele von Voigt: Multi-Stage Deep Learning for Context-Free Handwriting Recognition
• Aleksandar Bojchevski, Oleksandr Shchur, Daniel Zügner and Stephan Günnemann: NetGAN: Generating Graphs via Random Walks
• Yanjie Wang, Rainer Gemulla and Hui Li: On Multi-Relational Link Prediction with Bilinear Models
• Nico Piatkowski and Katharina Morik: Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation
• Christian Bauckhage, Rafet Sifa, Stefan Wrobel and Jannis Schücker: Informed Machine Learning Through Functional Composition

WSBI (A301)

• Invited talk. Dr. Ralf Finger: Forensische Datenanalyse in der Praxis – Unentdeckte Muster in komplexen Datenstrukturen finden und betrügerische Aktivitäten aufdecken

• Fach­gruppe Datenbank­systeme (A302)
• Fach­gruppe Information Retrieval (A103)
• Fach­gruppe Wissens­management (A101)
• Fach­gruppe Knowledge Discovery, Data Mining und Maschinelles Lernen (A104)
• Fach­gruppe Business Intelligence (A301)

The conference dinner takes place at

H+K Rheinterrassen GmbH
Das Gasthaus am Fluss
Rheinpromenade 15
68163 Mannheim

Information on how to get there can be found at http://rheinterrassen.info/kontakt.