Programme

Facets ofJuly

Multidisciplinary

EUROPEAN
CONFERENCE ON
DATA ANALYSIS
Paderborn | Germany

Data Sience

EC2018DA
04 - 06

Programme Chairs
Hans Kestler
Adalbert Wilhelm

University of Ulm, Germany
Jacobs University Bremen, Germany

Programme Committe
Stefan van Aelst

KU Leuven, Belgium

Casper Albers
Martin Atzmüller
Thomas Augustin

University of Groningen, Netherlands
Tilburg University, Netherlands
LMU Munich, Germany

Rolf Biehler
Daniel Baier
Bernd Bischl

Paderborn University, Germany
University of Bayreuth, Germany
LMU Munich, Germany

Ulf Brefeld
Claudio Conversano
Reinhold Decker

Leuphana University of Lüneburg, Germany
University of Cagliari, Italy
Bielefeld University, Germany

Sebastian Destercke
Florian Dumpert
Ralph Ewerth

University of Technology of Compiègne (UTC), France
University of Bayreuth, Germany
TIB, Leibniz Universität Hannover, Germany

Mohsen Farid
Peter Flach
Johannes Fürnkranz

University of Derby, United Kingdom
University of Bristol, United Kingdom
TU Darmstadt, Germany

Michaela Geierhos
Andreas Geyer-Schulz
Daniel Guhl

Paderborn University, Germany
KIT Karlsruhe, Germany
HU Berlin, Germany

Barbara Hammer
Dominik Heider
Christian Hennig
Tadashi Imaizumi
Salvatore Ingrassia
Krzysztof Jajuga
Wolfgang Konen
Georg Krempl
Koji Kurihara
Berthold Lausen
Xiaohui Liu
Volker Lohweg
Eneldo Loza Mencia
Felix MohrAngela Montanari
Emmanuel Müller
Fionn Murtagh
Mohamed Nadif

Bielefeld University, Germany
University of Marburg, Germany
University College London, United Kingdom
Tama University, Japan
Catania University, Italy
Wrocław University, Poland
TH Köln, Germany
Utrecht University, Netherlands
Okayama University, Japan
University of Essex, United Kingdom
Brunel University, United Kingdom
Ostwestfalen-Lippe University of Applied Sciences, Germany
TU Darmstadt, Germany
Paderborn University, Germany
University of Bologna, Italy
University of Potsdam, Germany
University of Huddersfield, United Kingdom
Paris Descartes University, France

Axel Ngonga
Oliver Niggemann
Friederike Paetz

Paderborn University, Germany
Ostwestfalen-Lippe University of Applied Sciences, Germany
University of Clausthal, Germany

Józef Pociecha
Niel le Roux
Lars Schmidt-Thieme

Cracow University of Economics, Poland
Stellenbosch University, South Africa
University of Hildesheim, Germany

Frank Scholze
Carsten Schulte
Jerzy Stefanowski

KIT Karlsruhe, Germany
Paderborn University, Germany
Poznan University of Technology, Poland

Kevin Tierney
Alfred Ultsch
Maurizio Vichi
Henning Wachsmuth
Marcel Wever

Bielefeld University, Germany
University of Marburg, Germany
Sapienza University of Rome, Italy
Paderborn University, Germany
Paderborn University, Germany

WE DNE S DAY
Auditorium

Room 1Room 2

Room 3

Room 4

Room 508:40-09:00

Opening

09:00-10:00

Plenary Talk
Gurevych

10:00-10:30

Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break

10:30-12:30

Interpretable
Machine Learning 1

Bioinformatics andBiostatistics

Textual Data Analysis
and Digital
Humanities

ConsumerPreferences andMarketing Analytics

Web and Data
Science

Machine Learning for
Dynamic Systems

12:30-14:00

Lunch

Lunch

Lunch

Lunch

Lunch

Lunch

14:00-15:00

Semi-Plenary Talk
Christmann

Semi-Plenary Talk
Hartig

15:00-17:00

Interpretable
Machine Learning 2

Dimensionality
Reduction

Recommendation ande-Commerce

Statistical andEconometric Methods

Big Data andComplex Network
Analytics

Industrial Applications

17:00-17:30

Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break

17:30-18:30

Plenary Talk
De Raedt

Semi-Plenary Talk
Rocci

T HURS DAY
Auditorium

Room 1Room 2

Room 3

Room 4

Room 509:00-10:00

Plenary Talk
Berger

10:00-10:30

Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break

10:30-12:30

Comparison andBenchmarking ofCluster Analysis
Methods

Statistical Learningwith Imprecision 1

Computational Social
Science

Advances in
Recursive
Partitioning andRelated Methods

Dim. Reduction and
Visualization forClassification 1

Mining Streaming
and Time-Evolving
Data

12:30-14:00

Lunch

Lunch

Lunch

Lunch

Lunch

Lunch

14:00-15:00

Semi-Plenary Talk
HammerSemi-Plenary Talk
Couso

Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break

15:00-17:00

Clustering

Statistical Learningwith Imprecision 2

Data Analysis in
Psychology and
Mental Health

Machine Learning 1

Dim. Reduction and
Visualization forClassification 2

Time Series Analysis
and Online
Algorithms

18:00-20:00

Social Event

Social Event

Social Event

Social Event

Social Event

Social Event

20:00-23:00

Conference Dinner

Conference Dinner

Conference Dinner

Conference Dinner

Conference Dinner

Conference Dinner

F RI DAY
Auditorium

Room 1Room 2

Room 3

Room 4

Room 509:00-10:00

Plenary Talk
Beerenwinkel

10:00-10:15

Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break

10:15-12:15

Machine Learning 2

Data Analysis Models
in Economics andBusiness

Image and Music
Data Analysis

Applications 1

Multivariate, multilabel, and ranking
data

Data Mining andKnowledge Discovery

12:15-13:15

Lunch

Lunch

Lunch

Lunch

Lunch

Lunch

13:15-14:35

Multimodal Data andCross-Modal
Relations

Data Analysis in
Finance 1

Statistical
Visualization for
Data Science

EuADS Symposium 1

Algorithm Selection
and Configuration for
Machine Learning

Statistical Aspects of
Machine Learning 1

14:35-14:50

Coffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee BreakCoffee Break

Data Analysis in
Finance 2

Applications 2

EuADS Symposium 2

Machine Learningand Optimization

Statistical Aspects of
Machine Learning 2

14:50-16:10

Farewell

16:15-16:30

3

Wednesday, 4-Jul-2018
08:40 –
09:00

Opening session
Location: Auditorium

09:00 –
10:00

Plenary talk: Iryna Gurevych
Disentangling the thoughts: Latest news in computational argumentation
Location: Auditorium
Chair: Henning Wachsmuth

10:00 –
10:30

Coffee break

10:30 –
12:30

Bioinformatics and Biostatistics
Location: Seminar room 1
Chair/Organizer: Dominik Heider
10:30 Ensemble Feature Selection for Regression Problems
Ursula Neumann, Dominik Heider
10:50 Group-Wise Feature Selection with Stacked Domain Learning
Wouter van Loon, Marjolein Fokkema, Botond Szabo, Mark de Rooij
11:10 Learning the Topology of Latent Signaling Networks from High Dimensional
Transcriptional Intervention Effects
Zahra Sadat Hajseyed Nasrollah, Achim Tresch, Holger Fröhlich
11:30 de.NBI Cloud - Compute Power for your ProjectPeter Belmann
11:50 Towards Enabling Virtual Clinical Studies with Longitudinal Bayesian Network
Modeling
Meemansa Sood, Akrishta Sahay, Reagon Karki, Martin Hofmann Apitius, Holger Fröhlich
12:10 Gaining New Knowledge on the Cell biological Processes of Cancer by Interpretable Machine Learning
Alfred Ultsch

10:30 –
12:10

Textual Data Analysis and Digital Humanities
Location: Seminar room 2
Chair/Organizer: Michaela Geierhos
10:30 Text Broom: A ML-based Tool to Detect and Highlight Privacy Breaches inPhysician Reviews: An Insight into Our Current Work
Frederik Simon Bäumer, Michaela Geierhos
10:50 Analyzing the Spectrum of Free Verse Poetry by using Digital Methods
Burkhard Meyer-Sickendiek, Hussein Hussein, Timo Baumann
11:10 Big Data and Digital Humanities(?)
Jochen Tiepmar
11:30 The FinderApp WiTTFind for Wittgenstein’s Nachlass
Maximilian Hadersbeck, Alois Pichler, Sabine Ullrich, Ines Röhrer
11:50 Topic Detection and Classification in Consumer Web Communication Data
Atsuho Nakayama

10:30 –
12:30

Consumer Preferences and Marketing Analytics
Location: Seminar room 3
Chair/Organizer: Friederike Paetz, Daniel Guhl
10:30 Identifying Nested Preference Structures in Choice-Based Conjoint Analysis:
A Simulation Study
Nils Goeken, Peter Kurz, Winfried J. Steiner410:50 Advertising for a Scientific Publishing Service in Social Media Networks: Effects on Reach and Prominence.
Victoria-Anne Schweigert, Andreas Geyer-Schulz
11:10 On the Effect of HB Covariance Matrix Prior Settings: A Simulation Study
Maren Hein, Peter Kurz, Winfried J. Steiner
11:30 Dynamic Structural Equation Models of Momentary Assessments in Consumer Research
Adam Sagan
11:50 Lexicographic Preferences in Customer Review Data Following a CriterionBased Approach
Michael Bräuning
10:30 –
12:30

Web & Data Science
Location: Seminar room 4
Chair/Organizer: Axel Ngonga
10:30 A Simple and Fast Approach to Knowledge Graph Embedding
Tommaso Soru, Stefano Ruberto, Diego Moussallem, Edgard Marx
10:50 CostFed: Cost-Based Query Optimization for SPARQL Endpoint Federation
Alexander Potocki, Muhammad Saleem, Tommaso Soru
11:10 Benchmarking Cloud Services for the Internet of Things
Kevin Grünberg, Wolfram Schenck
11:30 Sensitivity Analysis with FANOVA Graphs
Sonja Kuhnt
11:50 Using Textual Features for Validating RDF Knowledge Bases
Zafar Habeeb Syed, Michael Röder, Axel-Cyrille Ngonga Ngomo

10:30 –
12:30

Machine Learning for Dynamic Systems
Location: Seminar room 5
Chair/Organizer: Volker Lohweg, Oliver Niggemann
10:30 Ensemble Methods for Tracking Various Concept Drift Structures
Dhouha Mejri, Mohamed Limam, Claus Weihs
10:50 Structure Identification of Dynamical Takagi-Sugeno Fuzzy Models by Using
LPV Techniques
Matthias Kahl, Andreas Kroll
11:10 OpenCL Deep Learning Framework for Automated Text Recognition
Patrick Kappen, Lester Kalms, Diana Goehringer
11:30 A Reinforcement Learning Strategy for the Swing-Up of the Double Pendulum
on a Cart
Michael Hesse, Julia Timmermann, Ansgar Trächtler, Eyke Hüllermeier
11:50 Development of a Concept for Process Improvement Based on Large Amountof Data
Steffen Hovestadt
12:10 Behavioural Profiling of Industrial Assets Through Numerical Encoding of
Event Logs
Pierre Dagnely, Tom Tourwé, Elena Tsiporkova

510:30 –12:30

Interpretable Machine Learning 1
Location: Auditorium
Chair/Organizer: Eneldo Loza Mencía, Johannes Fürnkranz
10:30 Cognitive Bias vs Inductive Bias: Use of Cognitive Heuristics in the Designof Machine Learning Algorithms
Tomas Kliegr
10:50 Rule Editor for Cognitive Experiments: Towards Better Understanding of Rule
Interpretability and Comprehension
Stanislav Vojir, Patrik Kopecky, Tomas Kliegr
11:10 Interpretable Classification of Facial Expressions of Pain
Michael Siebers, Ute Schmid, Dominik Seuss, Jens Garbas, Teena Hassan, Miriam Kunz,
Stefan Lautenbacher
11:30 Interpretable Instance Based Text Classification for Social Science Research
Projects - An Evaluation
Helena Löfström, Tuwe Löfström, Ulf Johansson
11:50 How Interpretable are You? A Framework for Quantifying Interpretability
Amit Dhurandhar

12:30 –
14:00

Lunch break

13:00 –
14:00

Museum tour
Location: Museum

14:00 –
15:00

Semi-plenary talk: Johannes Hartig
Analysis of data from educational achievement tests with generalized linear mixed
modelsLocation: Seminar room 1
Chair: N.N.

14:00 –
15:00

Semi-plenary talk: Roberto Rocci
Finite mixtures for simultaneous clustering and reduction of matrix value observations
Location: Seminar room 3
Chair: Christian Hennig

14:00 –
15:00

Semi-plenary talk: Andreas Christmann
Kernel-based methods in machine learning
Location: Auditorium
Chair: Claus Weihs

15:00 –
17:00

Dimensionality Reduction
Location: Seminar room 1
Chair/Organizer: Volker Lohweg
15:00 Comparing Two Brand Switching Matrices by Asymmetric Multidimensional
Scaling
Akinori Okada, Hiroyuki Tsurumi
15:20 Investigating Quality measurements of projections for the Evaluation of Distance and Density-based Structures of High-Dimensional Data
Michael Christoph Thrun, Alfred Ultsch
15:40 Knowledge Discovery from Low-Frequency Stream Nitrate Concentrations:Hydrology and Biology Contributions
Michael Christoph Thrun, Lutz Breuer, Alfred Ultsch

616:00 On Extracting Asymmetric Changes in Asymmetric Matrices
Tadashi Imaizumi
16:20 Multivariate Gaussian Feature Selection
Helene Dörksen, Volker Lohweg
16:40 Choosing Among Notions of Depth for Multivariate Data
Karl Mosler, Pavlo Mozharovskyi
15:00 –
17:00

Recommendation and eCommerce
Location: Seminar room 2
Chair/Organizer: Daniel Baier
15:00 A Segmented Kano Perspective on the User Interface of Online Fashion Shops
Daniel Baier, Alexandra Rese
15:20 Modeling Customer Journey Value: Predicting Customer Churn and Future
Net Value
Dominic Christian Pastoors, Daniel Baier
15:40 Two-mode Overlapping Clustering for Three-mode Data with Applications toOnline Shopping and Site Engineering
Atsuho Nakayama, Daniel Baier
16:00 Dynamic Prediction of Propensity to Purchase by Landmark Modelling
Ilan Fridman Rojas, Aris Perperoglou, Berthold Lausen, Henrik Nordmark
16:20 Recommending Travel Itineraries using Social Media
Radhika Gaonkar, Maryam Tavakol, Ulf Brefeld
16:40 Using Association Rules for Dynamic Updates of Personalized Recommendations
Nicolas Haubner

15:00 –
17:00

Statistical and Econometric Methods
Location: Seminar room 3
Chair/Organizer: N.N.
15:00 Adaptive Confidence Intervals for Kinks in Regression Functions
Viktor Bengs, Hajo Holzmann
15:20 The Non-Gaussian ESEMIFAR Model
Yuanhua Feng, Sebastian Letmathe
15:40 Further Development of the Double Conditional Smoothing for NonparametricSurfaces Under a Lattice Spatial Model
Bastian Schäfer, Yuanhua Feng
16:00 Identifying the Most Relevant Information in Skewed Distributions
Alfred Ultsch
16:20 Bernoulli Mixture Models as a Part of Credibility Theory
Anne Sumpf
16:40 Observed versus Unobserved Heterogeneity in Structural Equation Models:
Cross-Country Data on Virtual-Try Ons
Alexandra Rese, Eleonora Pantano, Daniel Baier

15:00 –
17:00

Big Data and Complex Network Analytics
Location: Seminar room 4
Chair/Organizer: Martin Atzmüller
15:00 A New Approach to Measuring Distances in Dense Graphs
Fatimah Almulhim, Peter Thwaites, Charles Taylor715:20 The Impact of Graph Symmetry on Clustering
Fabian Ball, Andreas Geyer-Schulz
15:40 Scalable Knowledge Graph Exploration for Sentiment Classification
Gezim Sejdiu, Ali Denno, Mohamad Denno, Hajira Jabeen, Jens Lehmann
16:00 Comparing Partitions of the Petersen Graph
Andreas Geyer-Schulz, Fabian Ball
16:20 Graph-Theoretic Network Analysis of the Interactions Between Patients,
Physicians and Prescribed Drugs
Reinhard Schuster, Timo Emcke
16:40 Traffic Flow Analysis Using 12 Years of Data
Ian Marsh
15:00 –
17:00

Industrial Applications
Location: Seminar room 5
Chair/Organizer: N.N.
15:00 Data and Model Management Architecture for the Steel Industry
David Arnu, Fabian Temme, Edwin Yaqub, Gabriel Fricout, Marcus Neuer
15:20 Unsupervised Learning Approach to Assign Error Types to Automobile Engine Failures
Shailesh Tripathi, Sonja Strasser, Lukas Schimpelsberger, Matthias Dehmer
15:40 Applications of Machine Learning and Predictive Analytics in the Automotive
Industry
Ralf Klinkenberg
16:00 Development of a Data-Driven Software Tool to Detect Optimal Electrode
Sheets in Lithium-Ion Battery Production
Oliver Meyer, Claus Weihs, Sarah Schnackenberg, Michael Kirchhof
16:20 Automated Prediction of Assembly Plans for New 3D Product Designs
Ralf Klinkenberg

15:00 –
17:00

Interpretable Machine Learning 2
Location: Auditorium
Chair/Organizer: Eneldo Loza Mencía, Johannes Fürnkranz
15:00 Explanation Methods in Deep Neural Networks: An Overview
Gabrielle Ras, Marcel van Gerven, Pim Haselager
15:20 A Manifold Perspective for Debugging and Interpreting Deep Learning Models
Ning Xie, Derek Doran
15:40 Rule Extraction from a Convolutional Neural Network in Sentiment Analysis
Guido Bologna
16:00 Rule Extraction with Guarantees
Ulf Johansson, Henrik Boström, Cecilia Sönströd
16:20 Understanding Learned Models by Identifying Important Feature FrontiersMark Craven, Kyubin Lee, Sid Kiblawi, Akshay Sood
16:40 Explaining Random Forest Predictions using Frequent Itemset Mining
Henrik Boström, Ram Gurung, Tony Lindgren, Ulf Johansson

16:00 –
17:00

Museum tour
Location: Museum

17:00 –
17:30

Coffee break8

17:30 –18:30

Plenary talk: Luc de Raedt
Can we automate data science?
Location: Auditorium
Chair: Hans Kestler

9Thursday, 5-Jul-2018
09:00 –
10:00

Plenary talk: James Berger
Gaussian process emulation of computer models with massive output
Location: Auditorium
Chair: Adalbert Wilhelm

10:00 –
10:30

Coffee break

10:30 –
12:10

Statistical Learning with Imprecision 1
Location: Seminar room 1
Chair/Organizer: Thomas Augustin, Sébastien Destercke
10:30 Learning Range-Query Predictors
Vitalik Melnikov, Eyke Hüllermeier
10:50 Using Polynomial Errors-in-Variables Regression to Analyse Sequential Process Chains
Oliver Meyer, Claus Weihs
11:10 Partial Relational Clustering : A Thresholding Approach
Marie-Hélène Masson, Benjamin Quost, Sébastien Destercke
11:30 Issues in the Context of Missing Values
Martin Spiess, Daniel Salfran
11:50 Relational Data Analysis for Weakly Structured Information: Utilizing Linear
and Binary Programming for Computing Supremum Statistics on Closure Systems
Georg Schollmeyer, Christoph Jansen, Thomas Augustin

10:30 –
12:30

Computational Social Science
Location: Seminar room 2
Chair/Organizer: Henning Wachsmuth
10:30 Minorities in Social Networks
Claudia Wagner
10:50 Community Analysis based on linguistic characteristics in Social Networks
Kristi Lubonja, Mirco Schönfeld
11:10 Reputation through Observation: Active Lurkers in Online Communities
Clemens Niemeyer, Mirco Schönfeld
11:30 (Automated) Text Analysis of German Online Participation Projects with an
Interdisciplinary Approach from Computer Science and Communication and Media
Studies
Matthias Liebeck, Katharina Esau
11:50 A Practical Approach to Tackling Fake News
Martin Potthast
12:10 Discourse Analysis as an Information Retrieval Problem
Tim Gollub, Henning Schmidgen, Benno Stein

10:30 –
12:30

Advances in Recursive Partitioning and Related Methods
Location: Seminar room 3
Chair/Organizer: Claudio Conversano
10:30 Visual Pruning for Informative Prediction Trees
Roberta Siciliano, Antonio D’Ambrosio, Carmela Iorio, Giuseppe Pandolfo
10:50 Semisupervised Clustering through Recursive Partitioning and Complex Networks
Claudio Conversano, Giulia Contu, Luca Frigau, Francesco Mola10

11:10 Boosted Decision Trees for Behaviour Mining of Concurrent Programs Combinated with Genetic Algorithms
Hana Pluháčková, Tomáš Vojnar, Bohuslav Křena
11:30 A Framework for Measuring Stability of Recursive Partitioning Methods
Michel Phillip, Thomas Rusch, Carolin Strobl, Kurt Hornik
11:50 Distributional Regression Forests for Probabilistic Modeling and Forecasting
Lisa Schlosser, Torsten Hothorn, Heidi Seibold, Achim Zeileis
12:10 Treatment Subgroup Interactions and Personalized Treatment Effects
Heidi Seibold, Achim Zeileis, Torsten Hothorn
10:30 –
12:30

Dimension Reduction and Visualisation for Classification 1
Location: Seminar room 4
Chair/Organizer: Niël le Roux
10:30 Forward Stagewise Linear Regression for Ensemble Methods
Daniel Uys
10:50 Sum Score as Latent Variable for Sparse Multivariate Binary Data
Vartan Choulakian, Jacques Allard
11:10 Visualising Incomplete Data with Subset Multiple Correspondence Analysis
Johané Nienkemper-Swanepoel, Niël Le Roux, Sugnet Gardner-Lubbe
11:30 Model Selection for Projected Divisive Clustering
David Hofmeyr, Nicos Pavlidis
11:50 Unravelling Black Box Machine Learning Technique Predictions using Biplots
Adriaan Rowan, Sugnet Gardner-Lubbe, Francesca Little
12:10 Detecting Disease Subtypes by Means of Cluster Independent Component
Analysis (C-ICA) of Multi-Subject Brain Data
Jeffrey Durieux, Tom F. Wilderjans

10:30 –
12:30

Mining Streaming and Time-Evolving Data
Location: Seminar room 5
Chair/Organizer: Barbara Hammer, Georg Krempl, Jerzy Stefanowski
10:30 A General Extension for Online Discriminant Analysis Methods for Data
Streams with Concept Drift
Sarah Schnackenberg, Uwe Ligges, Claus Weihs
10:50 Temporal Density Extrapolation in Data Streams with Basis Expansion andCompositionally Modelled Coefficients
Dominik Lang, Vera Hofer
11:10 Scalable Implementation of Dynamic Factor Machine Learning for Very High
Dimensional Forecasting,
Gianluca Bontempi
11:30 Improving Predictions of Polarities of Entity-Centered Documents using
Entity-Centered Multinomial Naive Bayes
Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou
11:50 Improving Feature Selection for Multinomial Naive Bayes Classifiers Over Textual Streams
Damianos Melidis, Eirini Ntoutsi
12:10 Analysis of Patient Evolution on Time Series of Different Lenghts
Vishnu Unnikrishnan, Rüdiger Pryss, Thomas Probst, Manfred Reichert, Winnfried Schlee,
Berthold Langguth, Myra Spiliopoulou

1110:30 –12:50

Comparison and Benchmarking of Cluster Analysis Methods
Location: Auditorium
Chair/Organizer: Christian Hennig
10:30 The Threats and Traps in Benchmarking of Cluster Analysis Methods
Andrzej Dudek, Marcin Pełka, Marek Walesiak
10:50 Some Thoughts on Simulation Studies to Compare Clustering Methods
Christian Hennig
11:10 Towards Automatic Assessment of Clustering Quality
Andrey Filchenkov, Sergey Muravyov
11:30 Towards Evidence-Based Computational Statistics: Lessons from Clinicalresearch on the Role and Design of Real-Data Benchmark Studies
Anne-Laure Boulesteix, Rory Wilson, Alexander Hapfelmeier
11:50 Estimating the Quality of an Optimal Treatment Regime
Aniek Sies, Iven Van Mechelen
12:10 External Validity Indices and Cluster Size Imbalance
Matthijs Warrens
12:30 Benchmarking Cluster Analysis Methods using PDE-Optimized Violin PlotsMichael Christoph Thrun, Felix Pape, Alfred Ultsch

12:30 –
14:00

Lunch break

13:00 –
14:00

Museum tour
Location: Museum

14:00 –
15:00

Semi-plenary talk: Inés Couso
Maximum likelihood estimation from coarse data: what do we maximise?
Location: Seminar room 3
Chair: Sebastian Destercke

14:00 –
15:00

Semi-plenary talk: Barbara Hammer
Transfer learning and learning with concept drift
Location: Auditorium
Chair: Eyke Hüllermeier

15:00 –
15:15

Coffee break

15:15 –
16:35

Statistical Learning with Imprecision 2
Location: Seminar room 1
Chair/Organizer: Thomas Augustin, Sébastien Destercke
15:15 Density Estimation with Imprecise Kernels: Application to Classification
Sébastien Destercke, Guillaume Dendievel
15:35 Estimation of an Imputation Model for Non-Ignorable Binary Missing Data
Angelina Hammon
15:55 Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric
Uncertainty
Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier
16:15 How Valid is MAR Imputation under MNAR: Some Insights from Educational
Research
Sabine Zinn

12

15:15 –17:35

Data Analysis in Psychology and Mental Health
Location: Seminar room 2
Chair/Organizer: Fionn Murtagh, Mohsen Farid
15:15 Depression Diagnosis using Deep Convolutional Neural Networks
Mofassir ul Islam Arif, Maurício Camargo, Jan Forkel, Guilherme Holdack, Rafael RêgoDrumond, Nicolas Schilling, Tilman Hensch, Ulrich Hegerl, Lars Schmidt-Thieme
15:35 Mental Health: Analytical Focus and Contextualization for Deriving Mental
CapitalFionn Murtagh
15:55 Gaussian Process Panel Modeling – Kernel-Based Analysis of Longitudinal
Data
Julian Karch, Andreas Brandmaier, Manuel Voelkle
16:15 Linking Data and Psychological Theory with Process-based Models andBayesian Data Analysis
Alexander Krüger, Jan Tünnermann, Ingrid Scharlau
16:35 Probabilistic Time Series Clustering by Vector Autoregressive MetricAnja Ernst, Casper Albers, Marieke Timmerman
16:55 Health Shocks and Cognitive Decline in Older Ages
Hendrik Schmitz
17:15 The Default Mode Revolution and Computational Psychoanalysis: Implications for Future Health Research.
Miloš Borozan, Rosapia Lauro Grotto

15:15 –
17:15

Machine Learning 1
Location: Seminar room 3
Chair/Organizer: Hans Kestler
15:15 A Comparison of Automatic Algorithms for Occupation Coding
Malte Schierholz
15:35 Stopping Criteria for Active Learning with a Robot
Marek Herde, Adrian Calma, Daniel Kottke, Bernhard Sick, Maarten Bieshaar
15:55 Evaluating Ordinal Classifiers on Repetitive Class Structures
Lisa Schäfer, Hans A. Kestler, Ludwig Lausser
16:15 Leela Chess Zero: A Crowd-Sourced Effort to Replicate and Improve AlphaZero
Folkert Huizinga, Karlson Pfannschmidt
16:35 Extraction of Classification Rules Using a Bee Swarm Approach
Sadjia Benkhider

15:15 –
17:15

Dimension Reduction and Visualisation for Classification 2
Location: Seminar room 4
Chair/Organizer: Niël le Roux
15:15 Supervised Feature Selection and Global Sensitivity Analysis
Hana Sulieman, Ayman Alzaatreh
15:35 A Biplot based on a Principal Surface
Raeesa Ganey, Sugnet Gardner-Lubbe
15:55 The Alpha-Procedure and Aspects of Selection of Classification Space
Tatjana Lange
16:15 Computing Neural Reliability from EEG Recordings
Pieter Schoonees, Niël Le Roux13

16:35 Dimension Reduction Could be Used to Build Stable Models to Predict Sexual
Activity Amongst Incoming First-Year Students
Humphrey Brydon, Retha Luus, Rénette Blignaut, Innocent Karangwa, Joachim Jacobs
16:55 Classification Based on Dissimilarities Towards Prototypes
Beibei Yuan, Willem Heiser, Mark de Rooij
15:15 –
17:15

Time Series Analysis and Online Algorithms
Location: Seminar room 5
Chair/Organizer: Wolfgang Konen
15:15 Time Series Study on Job Market Demand using Co-Word Analysis
Elisa Margareth Sibarani, Simon Scerri
15:35 Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions
Markus Thill, Wolfgang Konen, Thomas Bäck
15:55 Comparison of Machine Learning Approaches for Time-Series Based Quality
Monitoring of Resistance Spot Welding
Baifan Zhou, Tim Pychynski, Markus Reischl, Ralf Mikut
16:15 Music Generation with Long Short Term Memory
Amin Dada, Rolf P. Würtz
16:35 An Experimental Evaluation of Time Series Classification Using Various Distance Measures
Paweł Piasecki, Tomasz Górecki
16:55 Using Time Series Analysis for Predicting Hemodynamic Instability in Intensive Care Patients
Daniela Behnam, Mark Last

15:15 –
17:15

Clustering
Location: Auditorium
Chair/Organizer: Alfred Ultsch
15:15 Ensemble Clustering for Symbolic Data for Green Growth Analysis
Marcin Pełka
15:35 The Performance of Tube Distance in Clustering Tasks
Andrzej Sokołowski, Małgorzata Markowska, Sabina Denkowska
15:55 Two-Step Clustering of Micro Panel Data
Maria Stachova, Lukas Sobisek
16:15 A Proposal of a New PAM-Like Clustering Algorithm for Symbolic Data
Marcin Pełka, Andrzej Dudek
16:35 On the Selection Uncertainty in Parametric Clustering
Alessandro Casa, Luca Scrucca, Giovanna Menardi

16:00 –
17:00

Museum tour
Location: Museum

18:00 –
19:30

Walk to Conference Dinner / Bus Transit

20:00 –
23:00

Conference Dinner

14

Friday, 6-Jul-2018
09:00 –
10:00

Plenary talk: Nico Beerenwinkel
Analyzing molecular tumor profiles for precision oncology
Location: Auditorium
Chair: Berthold Lausen

10:00 –
10:15

Coffee break

10:15 –
12:15

Data Analysis Models in Economics and Business
Location: Seminar room 1
Chair/Organizer: Józef Pociecha
10:15 Data Mining Models in Evaluation the Importance of Financial Indicators for
Firms’ Financial Condition Assessment
Józef Pociecha
10:35 Foreign Trade Effects on Regional Growth in Ukraine
Victor Shevchuk
10:55 An Approach towards a Decentralized and Forecast-based Energy Trading
Model
Moritz Mönning, Gerrit Schumann
11:15 Context-Sensitive Performance Benchmarking of a Portfolio of Industrial Assets
Alessandro Murgia, Elena Tsiporkova, Mathias Verbeke, Tom Tourwe
11:35 Automatic Monitoring System for the Competency Gap Evaluation at the Russian and Polish Labour Market
Sergey Belov, Ivan Kadochnikov, Paweł Lula, Renata Oczkowska, Katarzyna Wójcik, Petr
Zrelov

10:15 –
12:15

Image and Music Data Analysis
Location: Seminar room 2
Chair/Organizer: Igor Vatolkin
10:15 Enhancing Flood Risk Analysis using Interactive Retrieval of Social Media
ImagesBjörn Barz, Bin Yang, Kai Schröter, Moritz Münch, Andrea Unger, Doris Dransch, Joachim
Denzler
10:35 Handwritten Formula Recognition with Pixel-Wise Generative Adversarial Networks
Matthias Springstein, Clemens Pollak, Ralph Ewerth
10:55 Visual Stylometry of Comics Using CNN Features
Jochen Laubrock, David Dubray
11:15 Measurement of Robustness of Features and Classification Models on Degraded Data Sets in Music Classification
Igor Vatolkin
11:35 Classifying Music Genres Using Image Classification Neural Networks
Alan Kai Hassen, Hilko Hermann Janßen, Dennis Assenmacher, Mike Preuß11:55 Multi-Objective Optimization of Tone Onset Detection and Pitch Estimation
Algorithms
Kerstin Wintersohl, Nadja Bauer, Daniel Horn, Claus Weihs

15

10:15 –12:15

Applications 1
Location: Seminar room 3
Chair/Organizer: Mark Last
10:15 HMM with Non-Emitting States for Map Matching
Wannes Meert, Mathias Verbeke
10:35 Automating Time Series Feature Engineering for Activity Recognition from
Synchronized Inertial Measurement Units
Andreas W. Kempa-Liehr, Jonty Oram, Thor Bezier
10:55 The Moderating and Mediating Role of Meaning of Work – a PLS Path Analysis
Joachim Schwarz, Heiko Weckmüller
11:15 The Effect of Ambient Light Conditions on Road Safety
Valentin Schiele, Christian Bünnings

10:15 –
12:15

Multivariate, multi-label and ranking data
Location: Seminar room 4
Chair/Organizer: Eyke Hüllermeier
10:15 Using Multi-Label Logistic Regression to Maximize Macro F-measure
Masaaki Okabe, Jun Tsuchida, Hiroshi Yadohisa
10:35 R-Vine Mixture Model for Modeling Multivariate Count Data
Marta Nai Ruscone
10:55 A Representation of the Relationship Between Variables in Quantitative andQualitative Mixed Data
Mako Yamayoshi, Jun Tsuchida, Hiroshi Yadohisa
11:15 Learning to Rank based on Analogical Reasoning
Mohsen Ahmadi Fahandar, Eyke Hüllermeier
11:35 Ranking Distributions based on Noisy Sorting
Adil El Mesaoudi-Paul, Robert Busa-Fekete, Eyke Hüllermeier

10:15 –
12:15

Data Mining and Knowledge Discovery
Location: Seminar room 5
Chair/Organizer: Andreas Geyer-Schulz
10:15 Swarm Data Mining for Energy Harvesting in the Boundary Layer of the Atmosphere
Alfred Ultsch
10:35 Adaptation of Boosting Algorithm for Classification in Imbalanced Datasets
Aouatef Mahani, Ahmed Riadh Baba Ali
10:55 Sparsity-Inducing Fuzzy Subspace Clustering
Arthur Guillon, Marie-Jeanne Lesot, Christophe Marsala
11:15 Process Mining on Machine Event Logs for Profiling Abnormal Behavior andRoot Cause Analysis
Jonas Maeyens, Annemie Vorstermans, Mathias Verbeke
11:35 Patient Similarity Analysis for Personalized Health Prediction Models
Araek Tashkandi, Nicole Sarna, Lena Wiese

10:15 –
12:15

Machine Learning 2
Location: Auditorium
Chair/Organizer: Peter Flach
10:15 Learning Choice Functions
Karlson Pfannschmidt, Pritha Gupta, Eyke Hüllermeier16

10:35 Data Augmentation for Discrimination Prevention
Vasileios Iosifidis, Eirini Ntoutsi
10:55 Label Noise Filtering based on Cluster Validation Measures
Veselka Boeva, Lars Lundberg, Jan Kohstall, Milena Angelova
11:15 A Forest of Stumps
Amirah Alharthi, Charles Taylor, Jochen Voss
11:35 On the Projection of Machine Learning Scores to Well-Calibrated Probability
Estimates
Johanna Schwarz, Dominik Heider
11:00 –
12:00

Museum tour
Location: Museum

12:15 –
13:15

Lunch break

13:15 –
14:35

Data Analysis in Finance 1
Location: Seminar room 1
Chair/Organizer: Krzysztof Jajuga
13:15 Mixture Models in Competing Risks Analysis. Application to Credit Risk Assessment
Ewa Wycinka, Tomasz Jurkiewicz
13:35 Residual Based Consistent Bubble Detection
Leopold Sögner
13:55 Forecasting Non-Negative Financial Processes Using Different Parametricand Semi-Parametric ACD-Type Models
Sarah Forstinger, Yuanhua Feng, Christian Peitz
14:15 Taxonomy of Risk on Metal Market
Dominik Krężołek, Grażyna Trzpiot

13:15 –
14:35

Statistical Visualization for Data Science
Location: Seminar room 2
Chair/Organizer: Koji Kurihara, Adalbert Wilhelm
13:15 Visual Support for Imbalanced Classification
Adalbert Wilhelm
13:35 Visualization of Cluster Detection Based on Hierarchical Structure for Geospatial Data and Its Application
Fumio Ishioka, Shoji Kajinishi, Koji Kurihara
13:55 Development of an Interactive Visualization System to Analyze the Influenceof Drug Resistance Appearance
Sanetoshi Yamada, Yoshiro Yamamoto, Kazuo Umezawa
14:15 Empirical Study on Analysis of Unauthorized-Access Log Data and its Visual
OutputHiroyuki Minami

13:15 –
14:35

European Association for Data Science (EuADS) Symposium on Data Science Education 1
Location: Seminar room 3
Chair/Organizer: Rolf Biehler, Reinhold Decker, Peter Flach, Berthold Lausen, Carsten
Schulte13:15 The Project “ExWoSt Digitale Lernlabore”: Smart Data Labs as a Method ofData Science Education
Katharina Schüller, Katrin Grimm

17

13:35 Statistical Computing and Data Science in Introductory Statistics
Karsten Luebke, Matthias Gehrke, Norman Markgraf
13:55 From Computer Science and Statistics towards Data Science at LMU MunichThomas Seidl, Göran Kauermann
14:15 Data Science and Big Data in Upper Secondary Schools: What Should Be
Discussed from a Statistics Perspective?
Rolf Biehler, Daniel Frischemeier, Susanne Podworny, Thomas Wassong
13:15 –
14:35

Algorithm Selection/Configuration and Machine Learning
Location: Seminar room 4
Chair/Organizer: Bernd Bischl, Felix Mohr, Marcel Wever
13:15 Multi-Objective Selection of Algorithm Portfolios over Multiple Data Sets
Daniel Horn, Rosa Pink
13:35 Predicting Rankings of Classification Algorithms in AutoML
Helena Graf, Marcel Wever, Felix Mohr, Eyke Hüllermeier
13:55 Challenges of Meta-Learning on a Distributed Machine Learning Platform
Christian Geißler
14:15 ML-Plan: Automated Machine Learning for Multi-Class and Multi-Label Classification
Felix Mohr, Marcel Wever, Eyke Hüllermeier

13:15 –
14:35

Statistical Aspects of Machine Learning Methods 1
Location: Seminar room 5
Chair/Organizer: Florian Dumpert
13:15 Consistency and Robustness Properties of Predictors Based on LocallyLearned SVMs
Florian Dumpert
13:35 Classification in High Dimensions: When Are Rules Beneficial?
Claus Weihs
13:55 Data-Driven Robust Control Using Reinforcement Learning
Phuong Ngo, Fred Godtliebsen

13:15 –
14:35

Multimodal Data and Cross-modal Relations: Analytics and Search
Location: Auditorium
Chair/Organizer: Ralph Ewerth
13:15 Combining Textual and Visual Stylometry in the Analysis of Graphic Narrative
Rita Hartel, Alexander Dunst
13:35 Applying Frequent Pattern Mining to Multimodal Behavior in Interaction: Visualizing Significant Patterns
Katharina Rohlfing, Marcel Ruland, Sascha Henzgen
13:55 Using Voronoi-Cells to Assess Action Efficacy in High-Performance Soccer
Robert Rein, Daniel Memmert
14:15 Towards Analytics of Relations between Scientific Publications and Related
Software Implementations
Anett Hoppe, Jascha Hagen, Helge Holzmann, Günter Kniesel, Ralph Ewerth

14:35 –
14:50

Coffee break18

14:50 –16:10

Data Analysis in Finance 2
Location: Seminar room 1
Chair/Organizer: Krzysztof Jajuga
14:50 Joint Input and Predictive Model Parameters Selection for Financial Forecasting
Iaroslav Shcherbatyi, Wolfgang Maass
15:10 A Box-Cox Semiparametric Multiplicative Error Model
Xuehai Zhang, Yuanhua Feng
15:30 Model Risk of Selected Systemic Risk Measures for Polish Banking Industry
Katarzyna Kuziak, Krzysztof Piontek
15:50 The Effects of the Regulatory Capital Requirements of Basel III on the Costof Capital of Banks – an Empirical Analysis.
Florian Naunheim, Matthias Gehrke, Jeffrey Heidemann

14:50 –
16:10

Applications 2
Location: Seminar room 2
Chair/Organizer: N.N.
14:50 Sociohistorical Recommendations for the Dewey Decimal Classification Editorial Policy Committee for the Reclassification of Pentecostalism
Adam Stewart
15:10 Multidimensional Comparative Ranking of the European Union Countries in
the Area of Sustainable Development
Marcin Pełka, Tomasz Bartłomowicz
15:30 Radiocarbon Dating of the Turin Shroud: New Evidence from Raw Data
Tristan Casabianca, Benedetto Torrisi, Giuseppe Pernagallo, Emanuela Marinelli

14:50 –
15:50

European Association for Data Science (EuADS) Symposium on Data Science Education 2
Location: Seminar room 3
Chair/Organizer: Rolf Biehler, Reinhold Decker, Peter Flach, Berthold Lausen, Carsten
Schulte14:50 Digitally Fit?: Applied Machine Learning Academy for Industry
Ralph Ewerth, Marc Dittrich, Wolfgang Nejdl, Claudia Niederee, Hendrik Noske, JanHendrik Zab, Sergej Zerr
15:10 Data Science and Big Data in Upper Secondary Schools: What Should Be
Discussed from a Perspective of Computing Education?
Birte Heinemann, Lea Budde, Carsten Schulte
15:30 Industrial Data Science: Developing a Qualification Concept for Machine
Learning in Industrial Production
Nadja Bauer, Malte Jastrow, Daniel Horn, Lukas Stankiewicz, Kristian Kersting, Jochen
Deuse, Claus Weihs

14:50 –
16:10

Machine Learning and Optimization
Location: Seminar room 4
Chair/Organizer: Kevin Tierney
14:50 A Branch and Bound Algorithm for Decision Trees with Optimal Cross-Splits
Ferdinand Bollwein, Martin Dahmen, Stephan Westphal
15:10 Deep Learning Assisted Heuristic Tree Search for the Container Premarshalling Problem
André Hottung, Shunji Tanaka, Kevin Tierney1915:30 Gaussian Process Emulation of Computer Experiments with Both Continuous
and Categorical Inputs
Dominik Kirchhoff
15:50 A First Analysis of Kernels for Kriging-based Optimization in HierarchicalSearch Spaces
Martin Zaefferer, Daniel Horn
14:50 –
16:10

Statistical Aspects of Machine Learning Methods 2
Location: Seminar room 5
Chair/Organizer: Florian Dumpert
14:50 Factor Selection and Tests for Independence of Nominal and Metric Variates,
Marked Rank Statistics
Ulrich Müller-Funk, Stefanie Weiß
15:10 On the Influence of Margin Conditions on Rates of Localized Algorithms
Ingrid Blaschzyk
15:30 Parallelizing Spectral Algorithms
Nicole Mücke, Gilles Blanchard

16:15 –
16:30

Farewell
Location: Seminar room 320