Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Date: Monday, 18/Mar/2019
8:00am
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8:45am
Registration
Location: Foyer RW I
8:45am
-
9:00am
Opening
Location: H24 (RW I)

Daniel Baier (University of Bayreuth, General Conference Chair ECDA2019), Torsten Eymann (University of Bayreuth, Vice President for Information Technology & Entrepreneurship), Berthold Lausen (President IFCS, President GfKl, Program Chair ECDA2019), Francesco Palumbo (University of Naples Federico II, General Conference Chair ECDA2020) 

9:00am
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9:45am
Plenary: Analyzing Retail Market Basket Data by Unsupervised Machine Learning Methods by Harald Hruschka (University of Regensburg, Germany)
Location: H24 (RW I)
Chair: Winfried Steiner
9:45am
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10:30am
Plenary: Zero-Sum Regression by Rainer Spang (University of Regensburg, Germany)
Location: H24 (RW I)
Chair: Berthold Lausen
10:30am
-
11:00am
Coffee break
Location: Foyer RW I
11:00am
-
12:15pm
Statistics and Data Analysis
Location: S57 (RW I)
Chair: Ulrich Müller-Funk
Clustering 1
Location: S58 (RW I)
Chair: Christian Hennig
Machine Learning 1
Location: S59 (RW I)
Chair: Josef Schosser
Biostatistics and Bioinformatics 1 (organized by Dominik Heider)
Location: S61 (RW I)
Chair: Rainer Spang
Data Analysis in Finance 1
Location: S62 (RW I)
Chair: Hermann Locarek-Junge
Consumer Preferences and Marketing Analytics 1 (organized by Reinhold Decker and Winfried Steiner)
Location: S64 (RW I)
Chair: Winfried Steiner
12:15pm
-
1:30pm
Lunch (Monday)
Location: Frischraum (Mensa)
1:00pm
-
1:30pm
Software Demonstration: Process Mining Using Celonis (Jerome Geyer-Klingeberg and Angela-Sophia Gebert, Celonis SE)
Location: H24 (RW I)
Chair: Daniel Baier

Celonis was founded in Munich in 2011 and is one of the world’s leading providers of Process Mining Software, as well as one of the fastest growing technology ventures in Germany. Celonis received a 50-million-dollar investment in their Series B. The well-known US investors “Accel” und “83North” value the start-up from Munich at one billion dollars. This puts Celonis into the club of so-called unicorns: Companies with an estimated value of at least 1 billion dollars.

1:30pm
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2:15pm
Plenary: Co-Clustering – A Survey on Models, Algorithms and Applications by Hans-Hermann Bock (RWTH Aachen, Germany)
Location: H24 (RW I)
Chair: Claus Weihs
Plenary: Discrete Time-to-Event Analysis – Methods and Recent Developments by Matthias Schmid (University of Bonn, Germany)
Location: H25 (RW I)
Chair: Hans Kestler
2:15pm
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3:00pm
Plenary: Composite Indicators and Rankings by Andrzej Sokolowski (University of Krakow, Poland)
Location: H24 (RW I)
Chair: Akinori Okada
Plenary: Big Data Science in Systems Medicine – A Disruptive View on Current Medicine by Jan Baumbach (TU Munich, Germany)
Location: H25 (RW I)
Chair: Dominik Heider
3:00pm
-
3:30pm
Coffee break
Location: Foyer RW I
3:30pm
-
5:10pm
Statistical Learning (organized by Angela Montanari)
Location: S57 (RW I)
Chair: Angela Montanari
Clustering 2
Location: S58 (RW I)
Chair: Fionn Murtagh
Interpretable Machine Learning 1 (organized by Johannes Fürnkranz, Eneldo Loza Mencía and Ute Schmid)
Location: S59 (RW I)
Chair: Johannes Fürnkranz
Biostatistics
Location: S61 (RW I)
Chair: Hans Kestler
Data Analysis in Finance 2 (organized by Krzystof Jajuga)
Location: S62 (RW I)
Chair: Krzysztof Jajuga
Consumer Preferences and Marketing Analytics 2 (organized by Reinhold Decker and Winfried Steiner)
Location: S64 (RW I)
Chair: Harald Hruschka
5:10pm
-
5:30pm
Coffee break
Location: Foyer RW I
5:30pm
-
6:45pm
Data Science Education
Location: S57 (RW I)
Chair: Karsten Lübke
Machine Learning 2
Location: S59 (RW I)
Chair: Atsuho Nakayama
Biostatistics and Bioinformatics 2 (organized by Dominik Heider)
Location: S61 (RW I)
Chair: Dominik Heider
Data Analysis in Finance 3
Location: S62 (RW I)
Chair: Hermann Locarek-Junge
Consumer Preferences and Marketing Analytics 3 (organized by Reinhold Decker and Winfried Steiner)
Location: S64 (RW I)
Chair: Reinhold Decker
 
7:00pm
-
9:00pm
Welcome Reception (Richard Wagner museum by walking or bus shuttle)
Location: Richard Wagner museum

From 6:00pm possibility to visit the Wagner museum (guided tours every 10 min.)

Date: Tuesday, 19/Mar/2019
9:00am
-
9:45am
Plenary: Using Microblogging to Predict IPO Success by Means of Apache Spark Big Data Analytics by Dirk Van den Poel (University of Ghent, Belgium)
Location: H24 (RW I)
Chair: Reinhold Decker
Plenary: Meta-Analysis and Symbolic Data Analysis by Masahiro Mizuta (Hokkaido University, Japan)
Location: H25 (RW I)
Chair: Claus Weihs
9:45am
-
11:00am
Complexity, Data Science and Statistics through Visualization and Classification 1 (organized by Carmela Iorio and Roberta Siciliano)
Location: S57 (RW I)
Chair: Carmela Iorio
Chair: Roberta Siciliano
Stream Mining 1
Location: S58 (RW I)
Chair: Andreas Geyer-Schulz
Interpretable Machine Learning 2 (organized by Johannes Fürnkranz, Eneldo Loza Mencía and Ute Schmid)
Location: S59 (RW I)
Chair: Eneldo Loza Mencia
Data Analysis in Psychology
Location: S61 (RW I)
Chair: Claas Christian Germelmann
Data Analysis in Finance 4
Location: S62 (RW I)
Chair: Krzysztof Jajuga
Marketing Research
Location: S64 (RW I)
Chair: Herbert Woratschek
11:00am
-
11:30am
Coffee break
Location: Foyer RW I
11:30am
-
1:10pm
Complexity, Data Science and Statistics through Visualization and Classification 2 (organized by Carmela Iorio and Roberta Siciliano)
Location: S57 (RW I)
Chair: Carmela Iorio
Chair: Roberta Siciliano
Image and Text Mining
Location: S58 (RW I)
Chair: Ines Brusch
Interpretable Machine Learning 3 (organized by Johannes Fürnkranz, Eneldo Loza Mencía and Ute Schmid)
Location: S59 (RW I)
Chair: Ute Schmid
Data Analysis in Medicine, Health Care and Ecology
Location: S61 (RW I)
Chair: Masahiro Mizuta
Data Analysis in Industrial Automation 1
Location: S62 (RW I)
Chair: Claus Weihs
Structural Equation Models in Marketing 1
Location: S64 (RW I)
Chair: Marko Sarstedt
1:10pm
-
1:55pm
General Meeting AG DANK
Location: S58 (RW I)
1:10pm
-
2:25pm
Lunch (Tuesday)
Location: Frischraum (Mensa)
2:25pm
-
3:10pm
Plenary: CB-SEM or PLS-SEM? Five Perspectives and Five Recommendations by Marko Sarstedt (Otto von Guericke University Magdeburg, Germany)
Location: H24 (RW I)
Chair: Daniel Baier
3:10pm
-
4:25pm
Debate: Data Science - Occupation or Profession?
Location: S57 (RW I)
Chair: Ursula Maria Garczarek
Chair: Detlef Steuer
Stream Mining 2
Location: S58 (RW I)
Chair: Ingo Schmitt
Machine Learning 3
Location: S59 (RW I)
Chair: Johannes Fürnkranz
Data Analysis in Industrial Automation 2
Location: S62 (RW I)
Chair: Adalbert Wilhelm
Structural Equation Models in Marketing 2
Location: S64 (RW I)
Chair: Adam Sagan
 
4:25pm
-
4:45pm
City Tour
Location: Foyer RW I

Walking from the University to the Brewery with Conference Dinner including sightseeing, Tours start at 4:25 pm, 4:35 pm and 4:45 pm (Alternative: Bus Shuttle to Hotels (ARVENA, Rheingold, Bayerischer Hof) and to Brewery at 4:30 pm (starting at the ZUV Bus Stop) and 6:00 pm). Tours take about 40 min.

Coffee break
Location: Foyer RW I
4:30pm
-
6:00pm
General Meeting GfKl
Location: S57 (RW I)
7:00pm Conference Dinner at Restaurant "Liebesbier"
Location: Liebesbier Restaurant & Craft-Bier

The conference dinner will take place at the Liebesbier restaurant.

Before dinner, there is the opportunity to do a City Tour (with the first groups starting at the university at 4:25 pm) and a Brewery Tour (with the first groups starting at 5 pm at the Liebesbier building).

Date: Wednesday, 20/Mar/2019
9:00am
-
9:45am
PLS-SEM 1: Partial Least Squares Structural Equation Modeling Workshop - Introduction
Location: S57 (RW I)
Partial Least Squares Structural Equation Modeling (PLS-SEM) by Marko Sarstedt on Wednesday, March 20, 2019, 9:00-17:00 Partial least squares structural equation modeling (PLS-SEM) has recently received considerable attention in a variety of disciplines, including marketing, strategic management, management information systems, and many more.PLS is a composite-based approach to SEM, which aims at maximizing the explained variance of dependent constructs in the path model. Compared to other SEM techniques, PLS allows researchers to estimate very complex models with many constructs and indicator variables.Furthermore, PLS-SEM allows to estimate reflective and formative constructs and generally offers much flexibility in terms of data requirements.This half-day workshop introduces participants to the state-of-the-art of PLS-SEM using the SmartPLS 3 software. After a brief introduction to the basic principles of structural equation modeling, participants will learn the foundations of...
Plenary: Archetypes, Prototypes and Other Types: The Current State and Prospects for Future Research by Francesco Palumbo (University of Naples Federico II, Italy)
Location: H24 (RW I)
Chair: Adalbert Wilhelm
9:45am
-
11:00am
PLS-SEM 2: Fundamentals of Measurement I
Location: S57 (RW I)
Dimension Reduction 1
Location: S58 (RW I)
Chair: Maurizio Vichi
Machine Learning 4
Location: S59 (RW I)
Chair: Josef Schosser
Data Analysis in Social Sciences 1
Location: S61 (RW I)
Chair: Cristina Davino
Data Analysis Models in Economics and Business 1 (organized by Józef Pociecha)
Location: S62 (RW I)
Chair: Józef Pociecha
Social Network Analysis
Location: S64 (RW I)
Chair: Alexandra Rese
11:00am
-
11:30am
Coffee break
Location: Foyer RW I
11:30am
-
12:45pm
PLS-SEM 3: Fundamentals of Measurement II
Location: S57 (RW I)
Dimension Reduction 2
Location: S58 (RW I)
Chair: Akinori Okada
Machine Learning 5
Location: S59 (RW I)
Chair: Andreas Geyer-Schulz
Data Analysis in Social Sciences 2
Location: S61 (RW I)
Chair: Θεόδωρος Χατζηπαντελης
Data Analysis Models in Economics and Business 2 (organized by Józef Pociecha)
Location: S62 (RW I)
Chair: Jozef Dziechciarz
Innovation
Location: S64 (RW I)
Chair: Michael Brusch
12:45pm
-
1:00pm
Closing of the Conference
Location: H24 (RW I)
1:00pm
-
1:45pm
Lunch (Wednesday)
Location: Frischraum (Mensa)
1:45pm
-
3:00pm
PLS-SEM 4: Assessment of PLS-SEM: Results and Exercises I
Location: S57 (RW I)
3:00pm
-
3:15pm
Coffee break
Location: Foyer RW I
3:15pm
-
5:00pm
PLS-SEM 5: Assessment of PLS-SEM: Results and Exercises II; Outlook on Advanced Topics
Location: S57 (RW I)

 
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