Karlsruhe Institute of TechnologyKarlsruhe Institute of Technology

Mitarbeiter > Prof. Dr. Andreas Geyer-Schulz

Prof. Dr. Andreas Geyer-Schulz

Karlsruher Institut für Technologie
Institut für Wirtschaftsinformatik und Marketing
Abteilung für Informationsdienste und elektronische Märkte
Kaiserstraße 12
76131 Karlsruhe

Gebäude 20.52, Raum 2014
   Prof. Dr. Andreas Geyer-Schulz
 
Telefon:
E-Mail:
Webseite:
   +49 721 608 48402

http://em.iism.kit.edu


Veröffentlichungen:

Books

  • Luckner, Stefan, Schröder, Jan, Slamka, Christian, Franke, Markus, Geyer-Schulz, Andreas, Skiera, Bernd, Spann, Martin und Weinhardt, Christof. Prediction Markets - Fundamentals, Designs, and Applications. Gabler-Verlag (2011). [URL]
  • Geyer-Schulz, Andreas. Fuzzy Rule-Based Expert Systems and Genetic Machine Learning. Physica-Verlag (1997).
  • Geyer-Schulz, Andreas. Fuzzy Rule-Based Expert Systems and Genetic Machine Learning. Physica Verlag (1995). [URL]
  • Geyer-Schulz, Andreas. Unscharfe Mengen im Operations Research. Verlag der wissenschaftlichen Gesellschaften Österreichs (1986). [URL]

Buchbeiträge

  • Steinhauser, Martin, Sonnenbichler, Andreas Christoph und Geyer-Schulz, Andreas. Territorial Safety Networks. . [URL]
  • Geyer-Schulz, Andreas und Ball, Fabian. Comparing Partitions of the Petersen Graph. In Imaizumi, Tadashi, Nakayama, Atsuho und Yokoyama, Satoru (eds.): Advanced Studies in Behaviormetrics and Data Science: Essays in Honor of Akinori Okada, Springer Singapore (2020). [URL]
  • Ball, Fabian und Geyer-Schulz, Andreas. Symmetry in Graph Clustering. In Porzio, Giovanni C., Greselin, Francesca und Balzona, Simona (eds.): Book of Short Papers of CLADAG 2019, Cassino, SIS Societa Italiena di Statistica (2019).
  • Fuhrmann, Tino, Schweizer, Marvin, Geyer-Schulz, Andreas und Kurz, Peter. On Estimating Pricing Models from End-Consumer Internet Car-Configuration Data. In Mucha, Hans-Joachim (eds.): Big Data Clustering. Data Preprocessing, Variable Selection, and Dimension Reduction, Weierstraß Institute (WIAS) (2017).
  • Geyer-Schulz, Andreas, Ovelgönne, Michael und Stein, Martin. Modified Randomized Modularity Clustering: Adapting the Resolution Limit. In Lausen, Berthold, Van den Poel, Dirk und Ultsch, Alfred (eds.): Algorithms from and for Nature and Life, Springer International Publishing (2013). [URL]
  • Geyer-Schulz, Andreas und Ball, Fabian. Formal Diagnostics for Graph Clustering: TheRole of Graph Automorphisms (Extended Abstract). In Minerva, Tommaso, Morlini, Isabella und Palumbo, Francesco (eds.): CLADAG 2013 - Book of Abstracts, CLEUP (2013).
  • Geyer-Schulz, Andreas, Ovelgönne, Michael und Sonnenbichler, Andreas C.. A Social Location-Based Emergency Service to Eliminate the Bystander Effect. In M.S. Obaidat, G.A. Tsihrintzis, J. Filipe (eds.): e-Business and Telecommunications, Springer Berlin / Heidelberg (2012). [URL]
  • Geyer-Schulz, Andreas, Kratzer, Felix, Luckner, Stefan, Schröder, Jan, Seifert, Stefan, Skiera, Bernd, Slamka, Christian, Spann, Martin und Weinhardt, Christof. Prognosemärkte als Managementinstrument beim Dienstleistungsexport. In EULVerlag (eds.): Export und Internationalisierung wissensintensiver Dienstleistungen, EULVerlag (2010). [URL]
  • Stadtfeld, Christoph, Geyer-Schulz, Andreas und Waldmann, Karl-Heinz. Estimating event-based exponential random graph models. In Dreier, Thomas, Krämer, Jan, Studer, Rudi und Weinhardt, Christoph (eds.): Information Management and Market Engineering, KIT Scientific Publishing (2010).
  • Mylonas, Phivos, Solachidis, Vassilios, Geyer-Schulz, Andreas, Hoser, Bettina, Chapman, Sam, Ciravegna, Fabio, Staab, Steffen, Smrz, Pavel und Kompatsiaris, Yiannis. Efficient Media Exploitation Towards Collective Intelligence. In Fink, Andreas, Lausen, Berthold, Seidel, Wilfried und Ultsch, Alfred (eds.): Advances in Data Analysis, Data Handling and Business Intelligence, Springer Berlin Heidelberg (2010). [URL]
  • Solachidis, Vassilios, Mylonas, Phivos, Geyer-Schulz, Andreas, Hoser, Bettina, Chapman, Sam, Ciravegna, Fabio, Lanfranchi, Vita, Scherp, Ansgar und Staab, Steffen. Collective Intelligence Generation from User Contributed Content. In Fink, Andreas, Lausen, Berthold, Seidel, Wilfried und Ultsch, Alfred (eds.): Advances in Data Analysis, Data Handling and Business Intelligence, Springer Berlin Heidelberg (2010). [URL]
  • Geyer-Schulz, Andreas und Hoser, Bettina. Financial Accounting and Eigensystem Analysis. In Book of Short Papers: 7th Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, CLEUP sc (Coop. Libraria Editrice Universita di Padova (2009).
  • Franke, Markus, Geyer-Schulz, Andreas und Neumann, Andreas W.. Recommender Services in Scientific Digital Libraries. In Tsihrintzis, George A. und Jain, Lakhmi (eds.): Multi-Media Services in Intelligent Environments, Springer (2008).
  • Franke, Markus und Geyer-Schulz, Andreas. Using restricted random walks for library recommendations and knowledge space exploration. In Ma, Matthew und Uchyigit, Gulden (eds.): Personalisation Techniques and Recommender Services, World Scientific Publishing (2007). [URL]
  • Hoser, Bettina und Geyer-Schulz, Andreas. Organisationseffizienz. In Müller, Claudia und Gronau, Norbert (eds.): Analyse sozialer Netzwerke und Social Software - Grundlagen und Anwendungsbeispiele, Gito-Verlag (2007). [URL]
  • Gantner, Julian, Geyer-Schulz, Andreas und Thede, Anke. A Single Sign-On Protocol for Distributed Web Applications based on Standard Internet Mechanisms. In Ascenso, Joao, Vasiu, Luminita, Belo, Carlos und Saramago, Monica (eds.): e-Business And Telecommunication Networks, Springer-Verlag (2006). [URL]
  • Bomhardt, Christian, Franke, Markus, Gaul, Wolfgang, Geyer-Schulz, Andreas und Thede, Anke. Evaluationsdienste für mobile Lernumgebungen. In Deussen, Peter, Juling, Wilfried und Thum, Bernd (eds.): Nukath, Universitätsverlag Karlsruhe (2004).
  • Geyer-Schulz, Andreas und Hahsler, Michael. Comparing Two Recommender Algorithms with the Help of Recommendations by Peers. In WEBKDD 2002 - MiningWeb Data for Discovering Usage Patterns and Profiles, Springer Berlin / Heidelberg (2003). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael und Jahn, Maximillian. myVU: A Next Generation Recommender System Based on Observed Consumer Behavior and Interactive Evolutionary Algorithms. In Gaul, Wolfgang, Opitz, Otto und Schader, Martin (eds.): Data Analysis, Springer (2000). [URL]
  • Böhm, Walter und Geyer-Schulz, Andreas. Exact Uniform Initialization for Genetic Programming. In Belew, Richard K. und Vose, Michael (eds.): Foundations of Genetic Algorithms 4, Morgan Kaufmann Publishers (1997). [URL]
  • Geyer-Schulz, A.. The MIT Beer Distribution Game Revisited. Genetic Machine Learning and Managerial Behavior in a Dynamic Decision Making Experiment. In Herrera, F. und Verdegay, J. L. (eds.): Genetic Algorithms and Soft Computing, Physica-Verlag (1996).
  • Geyer-Schulz, Andreas. Fuzzy Classifier Systems. In Fuzzy Logic: State of the Art, Kluwer Academic Publishers (1993). [URL]

Artikel

  • Fuhrmann, Tino, Schweizer, Marvin, Geyer-Schulz, Andreas und Kurz, Peter. Mining Consumer-Generated Product-Configuration Data. Archives of Data Science, Series A (Online First) 8(1), pp.1 - 36 (2024).
  • Jakubik, Johannes, Nazemi, Abdolreza, Geyer-Schulz, Andreas und Fabozzi, Frank J. Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short-term Memory Networks. Quantitative Finance 23(2), pp.335 - 349 (2023). [URL]
  • Paetz, Friederike, Geyer-Schulz, Andreas und Steiner, Winfried J.. Report on the First Working Group Meeting of the “AG Marketing”. Archives of Data Science, Series A (Online First) 7(1), pp.1 - 13 (2020).
  • Baier, Daniel, Geyer-Schulz, Andreas, Lausen, Berthold und Montanari, Angela . Editorial. Archives of Data Science, Series A (Online First) 6(1), pp.1 - 4 (2020).
  • Baier, Daniel, Geyer-Schulz, Andreas, Montanari, Angela, Lausen, Berthold und Pociecha, Józef . Editorial Vol.6,2. Archives of Data Science, Series A (Online First) 6(2), pp.1 - 4 (2020).
  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. The Impact of the General Data Protection Regulation on the Design and Measurement of Marketing Activities: Introducing Permission Marketing and Tracking for Improved Marketing & CRM Compliance with Legal Requirements. Journal of Marketing Development and Competitiveness 13(4), pp.63 - 71 (2019). [URL]
  • Ball, Fabian und Geyer-Schulz, Andreas. How Symmetric Are Real-World Graphs? A Large-Scale Study. Symmetry 10(1(29)), pp.1 - 17 (2018). [URL]
  • Ball, Fabian und Geyer-Schulz, Andreas. Invariant Graph Partition Comparison Measures. Symmetry 10(10), pp.1 - 24 (2018). [URL]
  • Ball, Fabian und Geyer-Schulz, Andreas. Symmetry-based graph clustering partition stability. Archives of Data Science, Series A 4(1), pp.1 - 21 (2018). [URL]
  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. Improving the First Impression of an Online Scientific Publishing Service: A Usability Test. Archives of Data Science, Series A (Online First) 4(1), pp.1 - 21 (2018). [URL]
  • Ball, Fabian und Geyer-Schulz, Andreas . The Impact of Graph Symmetry on Clustering. Archives of Data Science, Series A (Online First) 5(1), pp.1 - 19 (2018). [URL]
  • Ball, Fabian und Geyer-Schulz, Andreas. Weak Invariants of Actions of the Automorphism Group of a Graph . Archives of Data Science, Series A 2(1), pp.123 - 144 (2017). [URL]
  • Rese, Alexandra , Baier, Daniel , Geyer-Schulz, Andreas und Schreiber, Stefanie . How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions . Technological Forecasting and Social Change 124, pp.306 - 319 (2017). [URL]
  • Geyer-Schulz, Andreas und Meyer-Waarden, Lars. Consumer Empowerment: What and Why?. Customer & Service Systems 1(1), pp.1 - 17 (2014). [URL]
  • Geyer-Schulz, Andreas und Ovelgönne, Michael. Recent Advances in Modularity Optimization and Their Application in Retailing. Customer & Service Systems 1(1), pp.39 - 50 (2014).
  • Stein, Martin und Geyer-Schulz, Andreas. A Comparison of Five Programming Languages in a Graph Clustering Scenario. Journal of Universal Computer Science 19(3), pp.428 - 456 (2013). [URL]
  • Stadtfeld, Christoph und Geyer-Schulz, Andreas. Analyzing event stream dynamics in two-mode networks: An exploratory analysis of private communication in a question and answer community. Social Networks 33(4), pp.258 - 272 (2011). [URL]
  • Franke, Markus und Geyer-Schulz, Andreas. An update algorithm for restricted random walk clustering for dynamic data sets . Advances in Data Analysis and Classification 3(1), pp.63 - 92 (2009). [URL]
  • Geyer-Schulz, Andreas und Thede, Anke. Implementation of Hierarchical Authorization For A Web Based Digital Library. Journal of Systemics, Cybernetics and Informatics 5(2), pp.51 - 56 (2007). [URL]
  • Hoser, Bettina, Schröder, Jan, Geyer-Schulz, Andreas, Viermetz, Maximilian und Skubacz, Michal. Topic trend detection in newsgroups. Künstliche Intelligenz 3, pp.37 - 40 (2007). [URL]
  • Geyer-Schulz, Andreas und Hoser, Bettina. Eigenspectral Analysis of Hermitian Adjacency Matrices for the Analysis of Group Substructures. The Journal of Mathematical Sociology 29(4), pp.265 - 294 (2005). [URL]
  • Geyer-Schulz, Andreas, Neumann, Andreas, Heitmann, Annika und Stroborn, Karsten. Strategic Positioning Options for Scientific Libraries in Markets of Scientific and Technical Information - The Economic Impact of Digitization. Journal of Digital Information 4(2), pp.1 - 17 (2003). [URL]
  • Geyer-Schulz, Andreas. Agententechnologie zur Integration von Empfehlungsdiensten in betriebliche Informationssysteme. visIT 1, pp.10 - 11 (2003). [URL]
  • Geyer-Schulz, Andreas, Neumann, Andreas und Thede, Anke. An Architecture for Behavior-Based Library Recommender Systems. Information Technology and Libraries 22(4), pp.165 - 174 (2003). [URL]
  • Geyer-Schulz, Andreas und Bruhn, Peter. Genetic Programming Over Context-Free Languages with Linear Constraints for the Knapsack Problem. Evolutionary Computation 10(1), pp.51 - 74 (2002). [URL]
  • Gaul, Wolfgang, Geyer-Schulz, Andreas, Hahsler, Michael und Schmidt-Thieme, Lars. eMarketing mittels Recommendersystemen. Marketing ZFP - Journal of Research and Management 24, pp.47 - 55 (2002). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael und Jahn, Maximillian. Educational and Scientific Recommender Systems: Designing the Information Channels of the Virtual University. International Journal of Engineering Education 17(2), pp.153 - 163 (2001). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael, Jahn, Maximillian und Schneider, G.. myVU: Die personalisierten Dienste der Virtual University. WU Memo 26, pp.34 - 37 (2000).
  • Geyer-Schulz, Andreas, Hahsler, Michael und Schneider, G.. Neu in der Virtuellen Universität. WU Memo 19, (1999).
  • Geyer-Schulz, Andreas, Hahsler, Michael und Schneider, G.. Virtual University: Der Weg zum wissenschaftlichen Recommendersystem. WU Memo 22, pp.17 - 18 (1999).
  • Geyer-Schulz, Andreas, Hahsler, Michael und Schneider, G.. Virtual University. WU Memo 22, pp.14 - 17 (1999).
  • Geyer-Schulz, Andreas, Hahsler, Michael und Schneider, G.. Neues Geographisches Informationssystem der VU. WU Memo 24, (1999).
  • Geyer-Schulz, Andreas, Hahsler, Michael, Jahn, Maximillian und Schneider, G.. Virtual University: Others also use .... WU Memo 25, (1999).
  • Geyer-Schulz, Andreas, Hahsler, Michael und Schneider, G.. The Virtual University and Its Embedded Intelligent Agents. ÖGAI Journal 18(1), pp.14 - 19 (1999). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael, Bruhn, Peter und Mottl, M.. Genetic Machine Learning and Intelligent Internet Agents. ÖGAI Journal 17(1), pp.18 - 25 (1998).
  • Geyer-Schulz, Andreas. Holland Classifier Systems. SIGAPL APL Quote Quad 25(4), pp.43 - 55 (1995). [URL]
  • Geyer-Schulz, Andreas. On Learning in a Fuzzy Rule-Based Expert System. Kybernetika 28, pp.33 - 36 (1992).
  • Geyer-Schulz, Andreas. Memo. SIGAPL APL Quote Quad 20(2), pp.12 - 27 (1989).

Konferenzbände

  • Challenges at the Interface of Data Analysis, Computer Science, and Optimization. Gaul, Wolfgang and Geyer-Schulz, Andreas and Schmidt-Thieme and Kunze, Jonas .Springer (2012). [URL]
  • Informationswirtschaft. Geyer-Schulz, Andreas and Taudes, Alfred .Köllen Druck+Verlag GmbH, Bonn (2003).

Konferenzbandbeiträge

  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. How to Motivate a Reviewer? Creating Best Practices to Implement a Successful Relationship Between a Journal and a Reviewer (Conference Paper). In Proceedings of the European Marketing Academy, pp.1 - 11 (2020). [URL]
  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. The Reviewer Motivation Problem – How to Improve the Relationship with this User Group?. In Proceedings of the European Marketing Academy -- 11th EMAC Regional Conference ``Challenging the status quo in marketing research'', University of Zagreb, Faculty of Economics & Business, pp.239 - 247 (2020).
  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. The Impact of the General Data Protection Regulation on the Design and Measurement of Marketing Activities: Introducing Permission Marketing and Tracking for Improved Marketing & CRM Compliance with Legal Requirements (Abstract). In Academy of Marketing Conference 2019: 'When you tire of marketing you tire of life'. Academy of Marketing 52nd Annual Conference, Regent's University London, 02.07.2019-04.07.2019. Helensburgh: Academy of Marketing, (2019). [URL]
  • Burkard, Leon und Geyer-Schulz, Andreas. Collaborative Literature Work in the Research Publication Process: The Cogeneration of Citation Networks as Example. In Wilhelm, Adalbert und Kestler, Wilhelm (eds.): Analysis of Large and Complex Data, Springer, (2016).
  • Geyer-Schulz, Andreas. The Problem of Finding Interesting Patterns. In Krolak-.Schwerdt, Sabine und Bömer, Matthias (eds.): European Conference on Data Science (Program, Abstracts, and Draft Notes), University of Luxembourg, (2016).
  • Valentin Nentwich, Nicolai Fischer, Andreas C. Sonnenbichler und Andreas Geyer-Schulz. Computer Aided Exercise Generation - A Framework for Human Interaction in the Automated Exercise Generation Process. In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications {(ICETE} 2016) - Volume 2: ICE-B, Lisbon, Portugal, July 26-28, 2016., pp.57 - 63 (2016). [URL]
  • Ovelgönne, Michael und Geyer-Schulz, Andreas. An Ensemble Learning Strategy for Graph Clustering . In David A. Bader, Henning Meyerhenke, Peter Sanders und Dorothea Wagner (eds.): Graph Partitioning and Graph Clustering , American Mathematical Society, pp.187 - 205 (2013).
  • Ovelgönne, Michael und Geyer-Schulz, Andreas. A Comparison of Agglomerative Hierarchical Algorithms for Modularity Clustering. In Gaul, Wolfgang, Geyer-Schulz, Andreas, Schmidt-Thieme und Kunze, Jonas (eds.): Challenges at the Interface of Data Analysis, Computer Science, and Optimization, Springer, pp.225 - 232 (2012). [URL]
  • Ovelgönne, Michael und Geyer-Schulz, Andreas. An Ensemble Learning Strategy for Graph Clustering. In David A. Bader, Henning Meyerhenke, Peter Sanders und Dorothea Wagner (eds.): 10th DIMACS Implementation Challenge - Graph Partitioning and Graph Clustering, DIMACS - Center for Discrete Mathematics and Theoretical Computer Science , (2012). [URL]
  • Sonnenbichler, Andreas und Geyer-Schulz, Andreas. ADQL: A Flexible Access Definition and Query Language to Define Access Control Models. In Pierangela Samarati (eds.): Proceedings of the International Conference of Security and Cryptography, (2012). [URL]
  • Kunze, Jonas und Geyer-Schulz, Andreas. ECTS Grades: Combination of Norm- and Criterion-Referenced Grading. In Gaul, Wolfgang, Geyer-Schulz, Andreas, Schmidt-Thieme und Kunze, Jonas (eds.): Challenges at the Interface of Data Analysis, Computer Science, and Optimization, Springer, pp.557 - 565 (2012). [URL]
  • Steinhauser, Martin, Sonnenbichler, Andreas C. und Geyer-Schulz, Andreas. Territorial Safety Networks. In Obaidat, Mohammad S., Sevillano, Jos{é} L. und Filipe, Joaquim (eds.): E-Business and Telecommunications, Springer Berlin Heidelberg, pp.100 - 114 (2012).
  • Steinhauser, Martin, Sonnenbichler, Andreas Christoph und Geyer-Schulz, Andreas. Supporting Safety Through Social Territorial Networks. In Marca, David (eds.): Proceedings of the International Conference on e-Business, SciTePress, pp.91 - 99 (2011).
  • Stadtfeld, Christoph, Geyer-Schulz, Andreas und Allmendinger, Otto. The Influence of Distance, Time, and Communication Network Structures on the Choice of Communication Partners. In IEEE SocialCom 2011: The Third IEEE International Conference on Social Computing, IEEE Press, pp.402 - 409 (2011). [URL]
  • Geyer-Schulz, Andreas, Ovelgönne, Michael und Sonnenbichler, Andreas. Getting Help In A Crowd - A Social Emergency Alert Service. In Proceedings of the International Conference on e-Business, INSTICC, pp.207 - 220 (2010). [URL]
  • Ovelgönne, Michael, Sonnenbichler, Andreas C. und Geyer-Schulz, Andreas. Social Emergency Alert Service - A Location-Based Privacy-Aware Personal Safety Service. In Proceedings of the 2010 Fourth International Conference on Next Generation Mobile Applications, Services and Technologies, IEEE Computer Society, pp.84 - 89 (2010). [URL]
  • Ovelgönne, Michael, Geyer-Schulz, Andreas und Stein, Martin. Randomized Greedy Modularity Optimization for Group Detection in Huge Social Networks. In SNA-KDD'10: Proceedings of the 4th Workshop on Social Network Mining and Analysis, ACM, pp.1 - 9 (2010). [URL]
  • Sonnenbichler, Andreas, Ovelgönne, Michael und Geyer-Schulz, Andreas. Using Social Networks To Break The Bystander Effect. In University of Trento, Italy (eds.): Sunbelt XXX International Social Network Conference, (2010).
  • Ovelgönne, Michael und Geyer-Schulz, Andreas. Cluster Cores and Modularity Maximization. In Fan, Wei, Hsu, Wynne, Webb, Geoffrey I., Liu, Bing, Zhang, Chengqi, Gunopulos, Dimitrios und Wu, Xindong (eds.): ICDMW '10. 10th IEEE International Conference on Data Mining Workshops (Sydney, Australia), IEEE Computer Society, pp.1204 - 1213 (2010). [URL]
  • Neumann, Andreas W. und Geyer-Schulz, Andreas. Applying Small Sample Test Statistics for Behavior-Based Recommendations. In Preisach, Christine, Burkhardt, Hans, Schmidt-Thieme, Lars und Decker, Reinhold (eds.): Data Analysis, Machine Learning, and Applications, Springer, pp.541 - 549 (2008). [URL]
  • Franke, Markus und Geyer-Schulz, Andreas. A Method for Analyzing the Asymptotic Behavior of the Walk Process in Restricted Random Walk Cluster Algorithm. In Decker, Reinhold und Lenz, Hans-J. (eds.): Advances in Data Analysis, Springer Verlag, pp.51 - 59 (2007). [URL]
  • Brendel, Christian, Nestle, David, Ringelstein, Jan, Eßer, Anke, Möst, Dominik, Rentz, Otto, Franke, Markus und Geyer-Schulz, Andreas. Marktmodell für ein dezentral organisiertes Energiemanagement im elektrischen Verteilnetz - Grundlage für ein internetbasiertes Managementsystem. In Energietechnische Gesellschaft im VDE (eds.): Internationaler ETG Kongreß 2007: Webbasierte Automatisierung in der Energietechnik, VDI Verlag, (2007). [URL]
  • Franke, Markus, Geyer-Schulz, Andreas und Hoser, Bettina. On the Analysis of Asymmetric Directed Communication Structures in Electronic Election Markets. In Billari, F.C., Fent, Th., Prskawetz, A. und Scheffran, J. (eds.): Agent-Based Computational Modelling. Applications in demography, social, economic and environmental sciences., Physica , pp.37 - 59 (2006). [URL]
  • Franke, Markus, Geyer-Schulz, Andreas und Hoser, Bettina. Analyzing Trading Behavior in Transaction Data of Electronic Election Markets. In Baier, Daniel, Decker, Reinhold und Schmidt-Thieme, Lars (eds.): Data Analysis and Decision Support, Springer, pp.222 - 230 (2005). [URL]
  • Geyer-Schulz, Andreas und Thede, Anke. A Two-Phase Grammar-Based Genetic Algorithm for a Workshop Scheduling Problem. In Baier, Daniel und Wernecke, Klaus-Dieter (eds.): Innovations in Classification, Data Science, and Information Systems, Springer-Verlag, pp.535 - 543 (2004). [URL]
  • Gantner, Julian, Geyer-Schulz, Andreas und Thede, Anke. A Single Sign-On Protocol for Distributed Web Applications based on Standard Internet Mechanisms. In Ascenso, João, Belo, Carlos, Casiu, Luminita, Saramago, Mónica und Coelhas, Helder (eds.): 1st International Conference on E-business and Telecommunication Networks, INSTICC Press, pp.191 - 198 (2004).
  • Geyer-Schulz, Andreas und Hahsler, Michael. Evaluation of Recommender Algorithms for an Internet Information Broker based on Simple Association-Rules and on Repeat-Buying Theory. In Zaiane, Osmar R., Srivastava, Jaideep, Spiliopoulou, Myra und Masand, Brij (eds.): WEBKDD 2002, Springer, (2003). [URL]
  • Böhm, Walter, Geyer-Schulz, Andreas, Hahsler, Michael und Jahn, Maximilian. Repeat-buying Theory and its Application for Recommender Services. In Opitz, Otto und Schwaiger, Manfred (eds.): Exploratory Data Analysis in Empirical Research, Springer-Verlag, pp.229 - 239 (2003). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael, Neumann, Andreas und Thede, Anke. An Integration Strategy for Distributed Recommender Services in Legacy Library Systems. In Schader, Martin, Gaul, Wolfgang und Vichi, Maurizio (eds.): Between Data Science and Applied Data Analysis, Springer-Verlag, pp.412 - 420 (2003). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael, Neumann, Andreas und Thede, Anke. Behavior-Based Recommender Systems as Value-Added Services for Scientific Libraries. In Bozdogan, Hamparsum (eds.): Statistical Data Mining & Knowledge Discovery, Chapman & Hall / CRC, pp.433 - 454 (2003). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael, Neumann, Andreas und Thede, Anke. Recommenderdienste für wissenschaftliche Bibliotheken und Bibliotheksverbünde. In Geyer-Schulz, Andreas und Taudes, Alfred (eds.): Informationswirtschaft, Köllen Druck+Verlag GmbH, Bonn, pp.43 - 57 (2003). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael und Thede, Anke. Comparing Simple Association-Rules and Repeat-Buying Based Recommender Systems in a B2B Environment. In Martin Schader, Wolfgang Gaul und Maurizio Vichi (eds.): Between Data Science And Applied Data Analysis, Springer-Verlag, pp.421 - 429 (2003).
  • Geyer-Schulz, Andreas, Hahsler, Michael und Jahn, Maximilian. Recommendations for Virtual Universities from Observed User Behavior. In Wolfgang Gaul und Gunter Ritter (eds.): Classification, Automation, and New Media, Springer-Verlag, pp.273 - 280 (2002). [URL]
  • Geyer-Schulz, Andreas und Hahsler, Michael. Software Reuse with Analysis Patterns. In Jack D. Becker und G. W. K. Willis (eds.): Proceedings of the 8th Americas Conference on Information Systems (AMCIS 2002), pp.1156 - 1165 (2002). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael und Jahn, Maximillian. A Customer Purchase Incidence Model Applied to Recommender Services. In Kohavi, Ron, Masand, Brij M., Spiliopoulou, Myra und Srivastava, Jaideep (eds.): WEBKDD 2001, Springer-Verlag, pp.25 - 47 (2002). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael und Jahn, Maximilian. Wissenschaftliche Recommendersysteme in Virtuellen Universitäten. In H.-J. Appelrath, R. Beyer, U. Marquardt, H.C. Mayr und C. Steinberger (eds.): Symposium Unternehmen Hochschule, pp.101 - 114 (2001). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael und Jahn, Maximilian. myVU. In W. Gaul, O. Opitz und M. Schader (eds.): Data Analysis, Springer, pp.447 - 447 (2000). [URL]
  • Geyer-Schulz, Andreas und Hahsler, Michael. Automatic Labelling of References for Internet Information Systems. In R. Decker und W. Gaul (eds.): Classification and Information Processing at the Turn of the Millenium, Springer, pp.451 - 459 (2000). [URL]
  • Geyer-Schulz, Andreas, Hahsler, Michael und Schneider, Georg. The Virtual University as a Network Economy. In Heinrich C. Mayer, Claudia Steinberger, Hans-Jürgen Appelrath und Uwe Marquardt (eds.): Unternehmen Hochschule '99, Informatik'99. Workshop-Unterlagen, GI, pp.75 - 86 (1999).
  • Geyer-Schulz, Andreas. The Next 700 Programming Languages for Genetic Programming. In Koza, John, Deb, Kalyanmoy, Dorigo, Marco, Fogel, David B., Garzon, Max, Iba, Hitoshi und Riolo, Rick L. (eds.): Genetic Programming 1997, Morgan Kaufmann Publishers, pp.128 - 136 (1997).
  • Geyer-Schulz, A.. Compound Derivations in Fuzzy Genetic Programming. In Smith, Michael H. , Lee, Michael A. , Keller, Jim und Yen, John (eds.): 1996 Biennial Conference of the North American Fuzzy Information Processing Society, IEEE Service Center, pp.510 - 514 (1996).
  • Geyer-Schulz, A.. Fuzzy Genetic Programming and Dynamic Decision Making. In William R. Wells und Ashok Iyer (eds.): Proceedings of the Eleventh International Conference on Systems Engineering, Howard R. Hughes College of Engineering, pp.686 - 691 (1996).
  • Böhm, W. und Geyer-Schulz, A.. Exact Uniform Initialization for Genetic Programming. In Belew, R. und Vose, M. (eds.): Proceedings Foundations of Genetic Algorithms Workshop (FOGA'4),, International Society of Genetic Algorithms, pp.255 - 269 (1996). [URL]
  • Geyer-Schulz, Andreas. Speeding Up Genetic Machine Learning. In Zimmermann, H.-J. (eds.): First European Congress on Fuzzy and Intelligent Technologies, EUFIT'93 (Vol. 2), Verlag der Augustinus Buchhandlung, pp.1083 - 1089 (1993).
  • Geyer-Schulz, A.. Fuzzy Classifier Systems. In R. Lowen und M. Roubens (eds.): Abstracts of the 4th IFSA World Conference IFSA'91: Computer, Management and Systems Science, IFSA, pp.90 - 94 (1991). [URL]
  • Geyer, Alois, Geyer-Schulz, Andreas und Taudes, Alfred. A Fuzzy Set Based Method for Identifying ARIMA-Models. In Wille, Rudolf (eds.): Klassifikation und Ordnung.12. Jahrestagung der Gesellschaft für Klassifikation e.V., Darmstadt, 1988, Indeks Verlag, pp.282 - 288 (1989).
  • Janko, Wolfgang H., Geyer-Schulz, Andreas und Taudes, Alfred. Entscheidungsunterstützungssysteme zur Kreditbewertung auf der Basis der Theorie der unscharfen Mengen. In Spremann, Klaus und Zur, Eberhard (eds.): Informationstechnologie und strategische Führung, Gabler, pp.275 - 289 (1989).
  • Geyer, Alois, Geyer-Schulz, Andreas und Taudes, Alfred. Eine Entwicklungsumgebung für Expertensysteme zur Zeitreihenanalyse. In Pressmar, D. , Jäger, K. E., Krallmann, H. , Schellhaas, H. und Streitferdt, L. (eds.): Operations Research Proceedings, Berlin, 1988. Vorträge der 17. Jahrestagung, Springer Verlag, pp.25 - 30 (1989).
  • Geyer-Schulz, Andreas. Object-Oriented Techniques in Fuzzy Rule-Based Expert Systems. In SEAS (eds.): Proceedings of the SEAS Anniversary Meeting 1989, SHARE European Association, pp.1797 - 1806 (1989).
  • Geyer, Alois, Geyer-Schulz, Andreas und Taudes, Alfred. An Expert System for Time-Series Analysis. In Wolfgang H. Janko (eds.): Statistik, Informatik und Ökonomie, Springer-Verlag, pp.55 - 70 (1988).
  • Geyer-Schulz, Andreas. Fuzzy Rule-Based Expert Systems. In Kraemer, James R. und Berry, Paul C. (eds.): APL Techniques in Expert Systems, ACM SIGAPL, pp.1 - 70 (1988).
  • Geyer-Schulz, Andreas. A Frame for Reasoning. In Kacprzyk, Janusz und Straszak, Andrzej (eds.): First Joint IFSA-EC and Euro-WG Workshop on Progress in Fuzzy Sets in Europe, Polska Akademia Nauk, pp.90 - 100 (1986).

Technical Reports

  • Geyer-Schulz, Andreas. xega: Extended Evolutionary and Genetic Algorithms. Technical Report IISM, KIT (2024). [URL]
  • Geyer-Schulz, Andreas. xegaBNF: Compile a Backus-Naur Form Specification into an R Grammar Object. Technical Report IISM, KIT (2024). [URL]
  • Geyer-Schulz, Andreas. xegaSelectGene: Selection of Genes and Gene Representation Independent Functions. Technical Report IISM, KIT (2024).
  • Geyer-Schulz, Andreas. xegaDerivationTrees: Generating and Manipulating Derivation Trees. Technical Report IISM, KIT (2024). [URL]
  • Geyer-Schulz, Andreas. xegaGaGene: Binary Gene Operations for Genetic Algorithms. Technical Report IISM, KIT (2024).
  • Geyer-Schulz, Andreas. xegaDfGene: Gene Operations for Real-Coded Genes. Technical Report IISM, KIT (2024). [URL]
  • Geyer-Schulz, Andreas. xegaPermGene: Operations on Permutation Genes. Technical Report IISM, KIT (2024). [URL]
  • Geyer-Schulz, Andreas. xegaGpGene: Genetic Operations for Grammar-Based Genetic Programming. Technical Report IISM, KIT (2024). [URL]
  • Geyer-Schulz, Andreas. xegaGeGene: Grammatical Evolution. Technical Report IISM, KIT (2024). [URL]
  • Geyer-Schulz, Andreas. xegaPopulation: Genetic Population Level Functions. Technical Report IISM, KIT (2024). [URL]
  • Ball, Fabian und Geyer-Schulz, Andreas. R-Package PartitionComparison. Technical Report Information Services and Electronic Markets, Institute of Information Systems and Marketing, Karlsruhe Institute of Technology (2017). [URL]
  • Geyer-Schulz, Andreas und Ovelgönne, . Vermutungen oder: Wie man die DIMACS Modularity Clustering Challenge gewinnt. Technical Report Informationsdienste und elektronische Märkte, KIT (2012).
  • Geyer-Schulz, Andreas, Meyer-Waarden, Lars, Kunze, Jonas und Sonnenbichler, Andreas. Blue Collar Science: The Student as a (Marketing) Scientist . Technical Report Informationsdienste und elektronische Märkte, KIT (2012).
  • Lanfranchi, Dr. V., Scherp, Dr. Ansgar, Kontopoulos, Costis, Slingsby, S., Janik, Maciej, Sonnenbichler, Andreas, Geyer-Schulz, Prof. Dr. Andreas, Ovelgönne, Michael und Kompatsiaris, Dr. Yiannis. D7.2 Emergency response and consumers’ social group case study design and specification. Technical Report Telefónica I+D (TID) (2009).
  • Ovelgönne, Michael und Geyer-Schulz, Prof. Dr. Andreas. D3.2 Report on methods and tools for user feedback analysis. Technical Report Karlsruhe Institute of Technology (KIT) (2009).
  • Hoser, Bettina und Geyer-Schulz, Andreas. Use of SNA Methods in technical environments, e.g. controller networks. Technical Report Universität Karlsruhe (TH) (2007).
  • Hoser, Bettina und Geyer-Schulz, Andreas. Follow-Up Report of the Project: Eigensystem Analysis of Newsgroups. Technical Report Universität Karlsruhe (TH) (2006).
  • Geyer-Schulz, Andreas und Hahsler, Michael. Pinboards and Virtual Libraries. Technical Report Institut für Informationsverarbeitung und -wirtschaft, Wirtschaftsuniverität Wien (2001).

Vorträge

  • Geyer-Schulz, Andreas. Architectural Design of a Unified GA/GP-Package for R. DSSV-ECDA 2021. (7/2021). [URL]
  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. The Reviewer Motivation Problem – How to Improve the Relationship with this User Group?. EMAC 2020 Regional Conference, Zagreb, 17.09.2020 (9/2020).
  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. The Impact of the General Data Protection Regulation on the Design and Measurement of Marketing Activities: Introducing Permission Marketing and Tracking for Improved Marketing & CRM Compliance with Legal Requirements. Academy of Marketing Conference 2019: 'When you tire of marketing you tire of life'. Academy of Marketing 52nd Annual Conference, Regent's University London, 02.07.2019-04.07.2019 (7/2019). [URL]
  • Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. How to motivate a reviewer? Adoption of CRM Strategies to implement a successful relationship between a journal and a reviewer (version 2019). . European Conference on Data Analysis 2019 (ECDA 2019), Bayreuth (3/2019). [URL]
  • Hummel, Thomas, Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. On the Measurement of Personality Types and Values. Tagung der Deutschen Arbeitsgemeinschaft Statistik (DAGStat), Göttingen, 2016-03-16 (3/2016). [URL]
  • Rüde, Robin, Fuhrmann, Tino, Neureuther, Thomas, Lausen, Leronard, Schweizer, Marvin und Geyer-Schulz, Andreas. Mining Consumer-Generated Product-Configuration Data. Tagung der Deutschen Arbeitsgemeinschaft Statistik (DAGStat), Göttingen, 2016-03-16 (3/2016). [URL]
  • Hummel, Thomas, Schweigert, Victoria-Anne und Geyer-Schulz, Andreas. Student Values Revisited - Measuring Dominant Interests in Personality. European Conference on Data Analysis (ECDA), Colchester, 2015-09-04 (9/2015).
  • Geyer-Schulz, Andreas, Hummel, Thomas, Roederer, Claire und Schweigert, Victoria-Anne. Student Value Systems. Conference of the International Federation of Classification Societies (IFCS), Bologna, 2015-07-01 (7/2015).
  • Geyer-Schulz, Andreas, Hummel, Thomas, Roederer, Claire und Schweigert, Victoria-Anne. On the Measurement of Value Systems. 4th French-German Workshop on Consumer Empowerment (CE), Strasbourg, 2015-10 (10/2015).
  • Geyer-Schulz, Andreas. A Decision-Maker Without Preferences. Dagstuhl Workshop on Preference Learning 2014-03-03 - 2014-03-07 (3/2014). [URL]
  • Geyer-Schulz, Andreas. What Makes the Internal Digital Customer Happy? A Multidisciplinary Approach. French-German Workshop on Customer Empowerment and Transformative Services: Is the Digital Customer a Happy Customer?, Montpellier, 2014-05-13 (2014).
  • Geyer-Schulz, Andreas, Hummel, Thomas und Seiffer, Anja. Research in Technology Acceptance: A Case Study of a Break-Down in Communication between Marketing, Management Information Science, and Computer Science.. Trentieme Congres de l' Association Francaise du Marketing (AFM), Montpellier, 2014-05-15 (5/2014).
  • Geyer-Schulz, Andreas, Hummel, Thomas und Schweigert, Victoria-Anne. Student Life-Style Revisited - Values, Attitudes and Behavior. European Conference on Data Analysis (ECDA), Bremen, 2014-07-03 (7/2014).
  • Geyer-Schulz, Andreas und Ball, Fabian. Fast and Scalable Graph Clustering with Ensemble Learning. Joint Meeting of the German Mathematical Society (DMV) and the Polish Mathematical Society (PTM) (9/2014). [URL]
  • Geyer-Schulz, Andreas und Ball, Fabian. Cluster Evaluation and Graph Automorphisms: Problems of the Classic Measures. Joint Meeting of the German Mathematical Society (DMV) and the Polish Mathematical Society (PTM) (9/2014). [URL]
  • Geyer-Schulz, Andreas. Modularity Maximization and the Theory of Partitions. European Conference on Data Analysis, Luxemburg (7/2013).
  • Geyer-Schulz, Andreas. Recent Advances in Modularity Clustering. Workshop Customer Empowerment, KIT, Karlsruhe, 10.1.2013-11.1.2013 (1/2013).
  • Geyer-Schulz, Andreas und Ovelgönne, Michael. From Local to Global Search in Modularity Clustering. DAGStat2013, Universität Freiburg, Freiburg, 19.3.-22.3.2013 (3/2013).
  • Geyer-Schulz, Andreas. The RG (Randomized Greedy) Family of Graph Clustering Algorithms. Institut für Marketing, Universität Wien. (3/2013).
  • Geyer-Schulz, Andreas. The Future of Scientific Publishing. GPSDAA 2013, Dresden (9/2013).
  • Geyer-Schulz, Andreas. Informationswirtschaft und Marketing: Impulse für die Zukunft. Wie wir die Welt konstruieren ... und was daraus folgt. 10 Jahre Institut für Informationswirtschaft und -management. (1/2013).
  • Ovelgönne Michael und Geyer-Schulz, Andreas. Ensemble Learning for Combinatorial Optimization: Modularity Maximization and Beyond. ISMP20120 - 21st International Symposium on Mathematical Programming, August 19-24, 2012, Berlin (8/2012).
  • Geyer-Schulz, Andreas und Ovelgönne, Michael. Graph-Symmetries and Tests for Formal Cluster Stability in Modularity Clustering . 4 th German/Japanese Workshop on Classification and Data Analysis (GfKl/JCS), Kyoto, 8.3.-10.3.2012 (3/2012).
  • Geyer-Schulz, Andreas, Ovelgönne, Michael und Stein, Martin. Extensions of Modularity Clustering. Joint Meeting GfKl-CLADAG 2010, 8-10 September, Firenze, Italy (9/2010).
  • Geyer-Schulz, Andreas und Ovelgönne, Michael. The Randomized Greedy Modularity Clustering Algorithm and Its Relationship with Incomplete SAT-Solvers. German/Japanese Workshop on Classification and Data Analysis (GfKl/JCS), Karlsruhe, 20.7.-21.7.2010 (7/2010).
  • Geyer-Schulz, Andreas und Hoser, Bettina. Social Network Analysis and Collective Intelligence (CI). EU ICT Lyon. (11/2008).
  • Geyer-Schulz, Andreas und Hoser, Bettina. On the Eigensystems of Operational Accounting Systems. (7/2006).
  • Geyer-Schulz, Andreas und Neumann, Andreas. Wissenschaftliche Bibliotheken in Informationsmärkten: Gestaltungsspielräume und Handlungsempfehlungen. V3D2-Symposium, 21.2.2002, Hannover (2/2002).
  • Geyer-Schulz, Andreas. The Genetic Programming Cookbook I: Genetic Programming Theory. APL'98, Rome (7/1998).
  • Geyer-Schulz, Andreas. The Genetic Programming Cookbook III: Combinatorial Optimization, Rewrite Systems, and Test Cases. APL'98, Rome (7/1998).
  • Geyer-Schulz, Andreas. The Genetic Programming Cookbook II: Language Design and Language Cookbook . APL'98, Rome (7/1998).
  • Geyer-Schulz, Andreas. Fuzzy Genetic Programming and Dynamic Decision Making. International Conference on Systems Engineering 1996 (ICSE'96) (7/1996).
  • Boehm, Walter und Geyer-Schulz, Andreas. Exact Uniform Initialization for Genetic Programming. Workshop Foundations of Genetic Algorithms 4 (FOGA'4) (8/1996).
  • Geyer-Schulz, Andreas. Organisatorisches Lernen mit neuen Medien: Das Living Lectures - Virtual University Project. .

Verschiedenes

  • Geyer-Schulz, Andreas. Vision Informationswirtschaft. (2003).
  • Geyer-Schulz, Andreas und Hahsler, Michael. Building (Personalized) Internet Navigation Interfaces: A Challenge for Automatic Classification. (1999).
  • Geyer-Schulz, Andreas und Hahsler, Michael. Virtuelle Universität http://vu.wu-wien.ac.at. (1999).
  • Geyer-Schulz, Andreas. The Genetic Programming Cookbook. (1998).
  • Geyer-Schulz, Andreas. Fuzzy Genetic Programming and Dynamic Decision Making. (1996).
  • Böhm, Walter und Geyer-Schulz, Andreas. Exact Uniform Initialization for Genetic Programming. (1996).
  • Geyer-Schulz, Andreas, Matulka, Josef und Neumann, Gustaf. Typesetting APL with LaTeX (Source Archive). (1993).