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
-
8:45am
Registration
Location: Foyer RW I
8:45am
-
9:00am
Opening
Location: H24 (RW I)
9:00am
-
9:45am
Plenary: Analyzing Retail Market Basket Data by Unsupervised Machine Learning Methods by Harald Hruschka (University of Regensburg, Germany)
Location: H24 (RW I)
9:45am
-
10:30am
Plenary: Zero-Sum Regression by Rainer Spang (University of Regensburg, Germany)
Location: H24 (RW I)
10:30am
-
11:00am
Coffee break
Location: Foyer RW I
11:00am
-
12:15pm
Statistics and Data Analysis
Location: S57 (RW I)
Clustering 1
Location: S58 (RW I)
Machine Learning 1
Location: S59 (RW I)
Biostatistics and Bioinformatics 1 (organized by Dominic Heider)
Location: S61 (RW I)
Data Analysis in Finance 1
Location: S62 (RW I)
Consumer Preferences and Marketing Analytics 1 (organized by Reinhold Decker and Winfried Steiner)
Location: S64 (RW I)
12:15pm
-
1:30pm
Lunch (Monday)
Location: Frischraum (Mensa)
1:30pm
-
2:15pm
Plenary: Co-Clustering – A Survey on Models, Algorithms and Applications by Hans-Hermann Bock (RWTH Aachen, Germany)
Location: H24 (RW I)
Plenary: Discrete Time-to-Event Analysis – Methods and Recent Developments by Matthias Schmid (University of Bonn, Germany)
Location: H25 (RW I)
2:15pm
-
3:00pm
Plenary: Composite Indicators and Rankings by Andrzej Sokolowski (University of Krakow, Poland)
Location: H24 (RW I)
Plenary: Big Data Science in Systems Medicine – A Disruptive View on Current Medicine by Jan Baumbach (TU Munich, Germany)
Location: H25 (RW I)
3:00pm
-
3:30pm
Coffee break
Location: Foyer RW I
3:30pm
-
5:10pm
Statistical Learning (organized by Angela Montanari)
Location: S57 (RW I)
Clustering 2
Location: S58 (RW I)
Interpretable Machine Learning 1 (organized by Johannes Fürnkranz, Eneldo Loza Mencía and Ute Schmid)
Location: S59 (RW I)
Chair: Ute Schmid
Biostatistics
Location: S61 (RW I)
Data Analysis in Finance 2 (organized by Krzystof Jajuga)
Location: S62 (RW I)
Consumer Preferences and Marketing Analytics 2 (organized by Reinhold Decker and Winfried Steiner)
Location: S64 (RW I)
5:10pm
-
5:30pm
Coffee break
Location: Foyer RW I
5:30pm
-
6:45pm
Data Science Education
Location: S57 (RW I)
Text and Web Mining
Location: S58 (RW I)
Machine Learning 2
Location: S59 (RW I)
Biostatistics and Bioinformatics 2 (organized by Dominic Heider)
Location: S61 (RW I)
Data Analysis in Finance 3
Location: S62 (RW I)
Consumer Preferences and Marketing Analytics 3 (organized by Reinhold Decker and Winfried Steiner)
Location: S64 (RW I)
7:00pm
-
9:00pm
Welcome Reception (Richard Wagner museum)
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)
Plenary: Meta-Analysis and Symbolic Data Analysis by Masahiro Mizuta (Hokkaido University, Japan)
Location: H25 (RW I)
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)
Stream Mining 1
Location: S58 (RW I)
Interpretable Machine Learning 2 (organized by Johannes Fürnkranz, Eneldo Loza Mencía and Ute Schmid)
Location: S59 (RW I)
Chair: Ute Schmid
Data Analysis in Psychology
Location: S61 (RW I)
Data Analysis in Finance 4
Location: S62 (RW I)
Marketing Research
Location: S64 (RW I)
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)
Image Mining
Location: S58 (RW I)
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 and Health Care
Location: S61 (RW I)
Data Analysis in Industrial Automation 1
Location: S62 (RW I)
Structural Equation Models in Marketing 1
Location: S64 (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)
Plenary: Relations Among K-means, Mixture of Distributions, and Fuzzy Clustering by Sadaaki Miyamoto (University of Tsukuba, Japan)
Location: H25 (RW I)
3:10pm
-
4:25pm
Debate: DS - Occupation or Profession?
Location: S57 (RW I)
Stream Mining 2
Location: S58 (RW I)
Machine Learning 3
Location: S59 (RW I)
Data Analysis in Ecology
Location: S61 (RW I)
Data Analysis in Industrial Automation 2
Location: S62 (RW I)
Structural Equation Models in Marketing 2
Location: S64 (RW I)
4:25pm
-
4:45pm
Coffee break
Location: Foyer RW I
CT: City Tour (first City Tour starts at 4:25pm)
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.<br>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)
9:45am
-
11:00am
PLS-SEM 2: Fundamentals of Measurement I
Location: S57 (RW I)
Dimension Reduction 1
Location: S58 (RW I)
Machine Learning 4
Location: S59 (RW I)
Data Analysis in Social Sciences 1
Location: S61 (RW I)
Data Analysis Models in Economics and Business 1 (organized by Józef Pociecha)
Location: S62 (RW I)
Social Network Analysis
Location: S64 (RW I)
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)
Machine Learning 5
Location: S59 (RW I)
Data Analysis in Social Sciences 2
Location: S61 (RW I)
Data Analysis Models in Economics and Business 2 (organized by Józef Pociecha)
Location: S62 (RW I)
Innovation
Location: S64 (RW I)
12:45pm
-
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)
Track closed, no further sessions
Location: S58 (RW I)
Track closed, no further sessions
Location: S59 (RW I)
Track closed, no further sessions
Location: S61 (RW I)
Track closed, no further sessions
Location: S62 (RW I)
Track closed, no further sessions
Location: S64 (RW I)
3:00pm
-
3:15pm
Coffee break
Location: Foyer RW I
3:15pm
-
4:00pm
PLS-SEM 5: Assessment of PLS-SEM: Results and Exercises II; Outlook on Advanced Topics
Location: S57 (RW I)
Track closed, no further sessions
Location: S58 (RW I)
Track closed, no further sessions
Location: S59 (RW I)
Track closed, no further sessions
Location: S61 (RW I)
Track closed, no further sessions
Location: S62 (RW I)
Track closed, no further sessions
Location: S64 (RW I)

 
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