Dr. Robert Stahlbock

Ein Schwerpunkt meiner Forschungsinteressen ist der Bereich der Informationssysteme, Datenanalyse (Data Science) und die Anwendung von bioanalogen Algorithmen (künstliche Neuronale Netze, evolutionäre Algorithmen) sowie auch Support-Vektor-Maschinen zur Lösung von Wirtschaftsprognosen, Problemen und Klassifikationsaufgaben zur Unterstützung von Management-Entscheidungen.

Neben der Problemmodellierung ist das Hauptziel die Prüfung und Verbesserung der Effizienz und Leistung von bestehenden Algorithmen. Im Rahmen meiner Doktorarbeit habe ich eine Kombination von evolutionären Algorithmen für die Datenselektion und den Bau von neuronalen Netzen entwickelt und erfolgreich auf ein reales Problem angewendet. Anwendungen von künstlichen neuronalen Netzen (wie Multilayer Perceptron, Lernvektorquantisierung und Probabilistischen Neuronalen Netzen) und ihren evolutionären Designs wurden in Kooperation mit Unternehmen untersucht: Dies geschah - wenn möglich - als Implementierung eines parallelen Algorithmus in einem PC-Netzwerk. Es konnten qualitativ hochwertige Ergebnisse erzielt werden.

Ein weiteres meiner Forschungsgebiete ist die Untersuchung und Anwendung von Methoden des Operations Research zur Lösung von logistischen Problemen bei Maritimen Container-Terminals mit Fokus auf Kran-Planung in einem automatisierten Yard.

• Vorstand der Graduiertenschule und Vertreter des akademischen Personals in der Graduiertenschule der Fakultät für Betriebswirtschaft, Universität Hamburg
• Mitglied im Editorial Board des "Journal of Shipping and Trade" (JST), Springer:
• seit 2018: General Chair der International Conference on Data Science (ICDATA), Las Vegas, NV, USA
• 2006 bis 2017: General Conference Chair der  Conference on Data Mining  (DMIN), Las Vegas, Nevada, USA
• Mitglied im Programm Komittee des 3rd Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models 2013 (QIMIE'13), co-organisiert mit der Pacific-Asia Conference on Knowledge Discovery and Data Mining 2013 (PAKDD'13), 14.-17. April, 2013, Gold Coast, Australien 
• Mitglied im Programm Komittee und Co-Organisator der 3rd International Conference on Computational Logistics 2012 (ICCL 2012), Shanghai, China    
• Mitglied im Program Komittee des IADIS International Conference WWW/Internet 2011, Nov 5-8, 2011, Rio de Janeiro, Brasilien
• Mitglied im Programm Komittee und Co-Organisator der 2nd International Conference on Computational Logistics 2011 (ICCL 2011), Hamburg
• Mitglied im Program Komittee der International Network Optimization Conference 2011 (INOC 2011), Hamburg
• Mitglied im Program Komittee des Quality issues, measures of interestingness and evaluation of data mining models Workshop 2011 (QIMIE'11), co-organisiert mit der Pacific-Asia Conference on Knowledge Discovery and Data Mining 2011 (PAKDD'11), Shenzhen, China
• Mitglied im Program Komittee des Quality issues, measures of interestingness and evaluation of data mining models Workshop 2009 (QIMIE'09), co-organisiert mit der Pacific-Asia Conference on Knowledge Discovery and Data Mining 2009 (PAKDD'09), Bangkok, Thailand
• Mitglied im Program Komittee des Tracks KDBI - Knowledge Discovery and Business Intelligencebei der 14th Portuguese Conf. on Artificial Intelligence (EPIA 2009), 12.-15.10.2009, University of Aveiro, Portugal
• Mitglied im Program Komittee der IADIS WWW/Internet 2008 Conference (ICWI 2008), Freiburg
• Mitglied im Organisationskomittee des Workshop on Business Intelligence (BI'07) co-organisiert mit der Portuguese Conference on Artificial Intelligence (EPIA 2007), Guimarães, Portugal
• eingeladener Gutachter bei der 13th International Conference on Neural Information Processing (ICONIP2006) und bei anderen internationalen Konferenzen, wie IEEE IJCNN, IEEE WCCI, HICSS, HMS, etc.
• eingeladener Gutachter beim European Journal of Operational Research; Transportation Science; Decision Support Systems; Transportation Research (Part E); Journal of Data & Knowledge Engineering; International Journal of Forecasting; Flexible Services and Manufacturing; International Journal of Industrial Engineering: Theory, Applications and Practice; Mathematical and Computer Modelling; und einigen anderen intrnationalen Zeitschriften

Bachelor:

• Einführung in die Betriebswirtschaftslehre
• Übungen in Statistik
• HWI-Proseminar, z.B. über Maritime Logistik
• Rechnerpraktikum (SoSe und WiSe)
• Grundlagen der Wirtschaftsinformatik (Vorlesung und Übungen)
• Betreuung und Begutachtung von Proseminararbeiten und Bachelorarbeiten
• Vorlesung und Übungen E-Business
• Projekt
• Studie

Master:

• Business Intelligence and Data Science (Theorie, Methoden,)
• Advances in Business Analytics
• Betreuung und Begutachtung von Masterarbeiten
• Studie
• Projekt/Seminar

Promotionsstudium:

• Betreuung von Working Papers und Präsentationen in Wirtschaftsinformatik- und Logistikseminaren

Bücher:

R. Stahlbock (2002) Evolutionäre Entwicklung künstlicher neuronaler Netze zur Lösung betriebswirtschaftlicher Klassifikationsprobleme. WiKu, Berlin

Artikel in Zeitschriften (mit Peer-Review-Verfahren):

R. Stahlbock, L. Heilig, S. Voß (2018) Blockchain in der maritimen Logistik, HMD Praxis der Wirtschaftsinformatik 55(6), 1185-1203; DOI 10.1365/s40702-018-00464-8 [Springer]

K. Tierney, S. Voß, R. Stahlbock (2013) A Mathematical Model of Inter-Terminal Transportation, European Journal of Operational Research, 10.1016/j.ejor.2013.07.007 [Elsevier]  

P. Großkurth, R. Stahlbock, S. Voß (2011) Economic Impacts of the Alternative Reuse of Empty ISO Containers, LNCS 6971, 142-159; DOI: 10.1007/978-3-642-24264-9_11 [Springer]    

J. Klaws, R. Stahlbock, S. Voß (2011) Container Terminal Yard Operations - Simulation of a Side-Loaded Container Block Served by Triple Rail Mounted Gantry Cranes, LNCS 6971, 243-255; DOI: 10.1007/978-3-642-24264-9_19 [Springer]

R. Stahlbock, S. Voß (2010) Efficiency considerations for sequencing and scheduling of double rail mounted gantry cranes at maritime container terminals, International Journal of Shipping and Transport Logistics, 2(1): 95-123; DOI 10.1504/IJSTL.2010.029899 [Inderscience]

R. Stahlbock, Stefan Lessmann, Sven F. Crone (2010) Data Mining and Information Systems: Quo Vadis?, Data Mining (R. Stahlbock, Sven F. Crone, S. Lessmann (Eds.), Annals of Information Systems 8: 1-15
 DOI 10.1007/978-1-4419-1280-0_1 [Springer]; ISSN 1934-3221

R. Stahlbock, S. Voß (2008) Operations research at container terminals - a literature update, OR Spectrum 30: 1-52  [Springer]

S.F. Crone, S. Lessmann, R. Stahlbock (2005) The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing, European Journal of Operational Research 173: 781-800  [Elsevier]

D. Steenken, S. Voß, R. Stahlbock (2004) Container terminal operation and operations research - a classification and literature review, OR Spectrum 26: 3-49 [Springer]

Konferenzartikel (Auswahl):

D. Bietsch, R. Stahlbock, S. Voß (2023) Electronic Health Data in the Context of Patient Length-of-Stay Prediction: Using Generative Adversarial Nets for Synthetic Data Creation. Proc. of The 2023 Intern. Conf. on Data Science (ICDATA'23, July 24-27, 2023, Las Vegas, NV, USA)

A Bliesmer, R. Stahlbock, S. Voß (2023) Empirical Investigation of Different Residual Models in Conformal Prediction. Proc. of The 2023 Intern. Conf. on Data Science (ICDATA'23, July 24-27, 2023, Las Vegas, NV, USA)

J. Daduna, R. Stahlbock, S. Voß (2012) Transport Systems for Linking Seaport Container Terminals and Dedicated Satellite Terminals. Proc. of The 2012 Intern. Conf. on Logistics and Maritime Systems (LOGMS, Aug. 22-24, 2012, Bremen, Germany)     
J. Meyer, R. Stahlbock, S. Voß (2012) Slow steaming in container shipping. In: R.H. Sprague (ed.): Proc. of the 45th Annual Hawaii Intern. Conf. on System Sciences (HICSS-45, Jan 4-7, Grand Wailea, Maui, Hawaii), IEEE, Piscataway, 1306-1314
[DOI 10.1109/HICSS.2012.529]

    
R. Stahlbock, S. Voß (2011) Maritime container terminals: Perspectives and challenges in the post-crisis
era. In: W.Y. Szeto, S.C. Wong, and N.N. Sze (eds.) Transportdynamics. Proc. of the 16th Intern. Conf. of Hong Kong Society for Transport Studies (HKSTS), Dec. 17-20, 2011, Hong Kong, 281-288 [ISBN 978-988-98847-9-6]

    
R. Stahlbock, S. Voß (2011) Environmental-friendly container transport - challenges and instruments of green maritime logistics. Proc. of the IAME 2011 Conference, Oct. 25-28, Santiago de Chile    
         
R. Stahlbock,  S. Voß (2010) Green Maritime Transport – State of the Art and Challenges, In:  A. Sumalee, W.H.K. Lam, H.W. Lo and B. Siu (Eds.): Proc. of the 15th HKSTS International Conf. - Transportation and Urban Sustainability (Dec. 11-14, 2010, Hong Kong, China), Hong Kong Society for Transportation Studies (HKSTS), Hong Kong, 263-270, ISBN 978-988-98847-8-9

F. Schwartz, R. Stahlbock, S. Voß (2009) Evaluation of postponement activities in dry ports. Proc. of the IAME 2009 Conference, June 24-26, Copenhagen

R. Stahlbock, S. Voß (2009) A Branch and Bound Method for Sequencing Double Rail Mounted Gantry Cranes at a Maritime Container Terminal. Presented at the International Symposium on Maritime Logistics and Supply Chains (MLOG, April 23-24, Singapore)

R. Stahlbock, S. Voß (2009) Improving the Logistics of Moving Empty Containers. Presented at the International Symposium on Maritime Logistics and Supply Chains (MLOG, April 23-24, Singapore)

R. Stahlbock (2008) Neural Classification Approach for Short Term Forecast of Exchange Rate Movement with Point and Figure Charts, In: Proc. of the Int. Joint Conf. on Neural Networks (IJCNN'08, part of the IEEE World Congress on Computational Intelligence (WCCI 2008)), 2008 (June 1-6, 2008, Hong Kong, China), IEEE, 2842-2849

S. Lessmann, S.F. Crone, R. Stahlbock, N. Zacher (2006) An evaluation of support vector machines for cost-sensitive learning, In: Proc. of the Int. Joint Conf. on Neural Networks (IJCNN'06, part of the IEEE World Congress on Computational Intelligence (WCCI 2006)) 2006 (July 16-21, 2006, Vancouver, Canada), IEEE, 347-354

S. Lessmann, R. Stahlbock, S.F. Crone (2006) Genetic algorithms for support vector machine model selection, In: Proc. of the Int. Joint Conf. on Neural Networks (IJCNN'06, part of the IEEE World Congress on Computational Intelligence (WCCI 2006)) 2006 (July 16-21, 2006, Vancouver, Canada), IEEE, 3063-3069

S. Lessmann, R. Stahlbock, S.F. Crone (2006) Genetically constructed kernels for support vector machines, In: Haasis, H.-D., Kopfer, H. and Schönberger, J. (Eds.): Operations Research Proceedings 2005 : Selected Papers of the Annual Intern.l Conf. of the German Operations Research Society (GOR) (Sep 7–9, 2005, Bremen, Germany), Springer, Heidelberg, 257-262 [Springer]

R. Stahlbock, S.F. Crone (2005) Evolutionary Neural Classification for Evaluation of Retail Stores and Decision Support, In: Proc. Int. Joint Conf. on Neural Networks (IJCNN) 2005 (July 31-Aug 4, 2005, Montréal, Canada), IEEE, Piscataway, 1499-1504

S.F. Crone, S. Lessmann, R. Stahlbock (2005) Utility Based Data Mining for Time Series Analysis - Cost-sensitive Learning for Neural Network Predictors, In: Weiss, G., Saar-Tsechansky, M., Zadrozny, B. (Eds.): Proc. of the 1st Int. Workshop on Utility based Data Mining (ACM SIG-KDD'05, Chicago, USA), 59-68 [preliminary working paper ]

R. Stahlbock, S.F. Crone, S. Lessmann (2005) Evolutionary Neural Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning, In: Arabnia, H. (Ed.): Proc. Int. Conf. on Artificial Intelligence (IC-AI'05, June 27-30, Las Vegas, Nevada, USA), CSREA Press, Vol. I, 60-66 [preliminary working paper ]

S. Lessmann, R. Stahlbock, S.F. Crone (2005) Optimizing Hyperparameters of Support Vector Machines by Genetic Algorithms. In: Arabnia, H. (Ed.): Proc. Int. Conf. on Artificial Intelligence (IC-AI'05, June 27-30, Las Vegas, Nevada, USA), CSREA Press (2005), Vol. I, 74-80

S.F. Crone, S. Lessmann, R. Stahlbock (2005) A New Perspective on Forecasting Seasonal Time Series with Artificial Neural Networks. In: Arabnia, H. (Ed.): Proc. Int. Conf. on Artificial Intelligence (IC-AI'05, June 27-30, Las Vegas, Nevada, USA, CSREA Press) - accepted for publication in post-proceedings

R. Stahlbock (2004) An Evolutionary Neural Classification Approach to Evaluate Retail Stores and Support Decisions on Their Location, In-Store Design and Assortment, In: Arabnia, H. (Ed.): Proc. Int. Conf. on Artificial Intelligence (IC-AI’04, June 21-24, Las Vegas, Nevada, USA), CSREA Press (2004), Vol. I, 228-234

S.F. Crone, S. Lessmann, R. Stahlbock (2004) Empirical Comparison and Evaluation of Classifier Performance for Data Mining in Customer Relationship Management. In: D. Wunsch et al. (Eds.): Proc. Int. Joint Conf. on Neural Networks (IJCNN) 2004 (July 25-29, Budapest, Hungary), IEEE, Piscataway, 443-448 [preliminary working paper ]

R. Stahlbock (2000) Devisenkursprognose mit neuronalen Netzen. In: Cleve, J. (Ed.): Proc. WIWITA 2000 - 2. Wismarer Wirtschaftsinformatiktage (June 15-16, Hochschule Wismar, Fachbereich Wirtschaft), 154-160

weitere Konferenzbeiträge (Extended Abstracts, manchmal in Konferenzbänden gedruckt; Auswahl):

J. R. Daduna, R. Stahlbock (2023) Maritime transport and seaport hinterland transports - Future structures of multimodal transport processes in Germany

R. Stahlbock, S. Voß (2012) Environmental-friendly Container Transport - Challenges and Instruments of Green Maritime Logistics. Presented by S. Voß at the Intern. Conf. on Sustainable Growth through Green and Secure Logistics (Nov. 01, Shanghai, China)

J. Daduna, R. Stahlbock, S. Voß (2012) Transport Systems for Linking Seaport Container Terminals and Dedicated Satellite Terminals. Presented by J. Daduna at The 3rd Intern. Conf. on Computational Logistics (ICCL 2012, Sept. 24-26, Shanghai, China)

N. Emmer, R. Stahlbock, S. Voß (2012) Simulation of Rail Mounted Gantry Crane Systems in a Container Terminal Yard. Presented by S. Voß at The 2012 Intern. Conf. on Logistics and Maritime Systems (LOGMS, Aug. 22-24, 2012, Bremen, Germany)

R. Stahlbock, S. Voß (2012) The Thailand Canal and its Impact on Maritime Logistics. Presented at The 2012 Intern. Conf. on Logistics and Maritime Systems (LOGMS, Aug. 22-24, 2012, Bremen, Germany)

R. Stahlbock, S. Voß (2011) Green Maritime Transport - State of the Art and Challenges. Presented by S. Voß at the 2nd Intern. Conf. on Computational Logistics (ICCL 2011, Sept. 19-22, 2011, Hamburg, Germany)

S. Voß, R. Stahlbock, J. Böse (2011) Perspectives and Challenges of Modern Maritime Container Terminals. Presented at the PORTeC Workshop on the Future of Container Terminal Automation (April 5, 2011, Imperial College London)

R. Stahlbock (2010) Classification Approaches for Strategic and Operational Decision Support in Retail Store Planning. Presented at the ICCL 2010 - The 1st International Conference on Computational Logistics (Sept. 20-22, 2010, Shanghai, China)

R. Stahlbock, S. Voß (2010) Data Mining – Decision Support in Container Logistics. Presented at the ICCL 2010 - The 1st International Conference on Computational Logistics (September 20-22, 2010, Shanghai, China)

R. Stahlbock, S. Voß (2010) Empty Container Management - State of the Art. Presented at the LOGMS 2010 - The 2010 International Conference on Logistics and Maritime Systems (September 15-17, 2010, Busan, Korea)

R. Stahlbock, S. Voß (2010) Container Logistics and Data Mining. Presented at the LOGMS 2010 - The 2010 International Conference on Logistics and Maritime Systems (September 15-17, 2010, Busan, Korea)

S. Voß, R. Stahlbock (2010) Improving the logistics of moving empty containers - Can new concepts avoid a collapse in container transportation? Presented by S. Voß at EURO XXIV, 24th European Conference on Operational Research (July 11-14, Lisbon, Portugal)

S. Voß, R. Stahlbock (2010) Improving the logistics of moving empty containers - Can new concepts avoid a collapse in container transportation? Presented by S. Voß at TRISTAN VII, 7th Triennial Symposium on Transportation Analysis (June 20-25, Tromsø, Norway)

R. Stahlbock, S. Voß, R. Eisenberg (2008) Increasing the efficiency of container terminals by automated double rail mounted gantry cranes. Presented at the German-Korean Workshop on Container Terminal Management : IT-based Planning and Control of Seaport Container Terminals and Transportation Systems (Aug 27-31, Bremen, Germany)

R. Stahlbock, X. Shi, S. Voß (2008) Can new concepts avoid a collapse in container transport? Presented by S. Voß at the 3rd German-Korean Workshop on Container Terminal Management : IT-based Planning and Control of Seaport Container Terminals and Transportation Systems (Aug 27-31, Bremen, Germany)

S. Voß, X. Shi, R. Stahlbock (2008) Container terminal operation and Operations Research - Recent challenges. Presented by S. Voß at the 3rd German-Korean Workshop on Container Terminal Management : IT-based Planning and Control of Seaport Container Terminals and Transportation Systems (Aug 27-31, Bremen, Germany)

S. Voß, R. Stahlbock, D. Steenken (2006) Container Terminal Operation and Operations Research. Presented by S. Voß at 4th US-European Workshop on Logistics and Supply Chain Management - An International Research Perspective (July 8-9, 2006, Hamburg, Germany)

S. Voß, R. Stahlbock, R. Eisenberg, D. Steenken (2005) Simulation of Double Rail Mounted Gantry Cranes. Presented by S. Voß at IFORS Triennial 2005 (July 11-15, 2005, Honolulu, Hawaii, USA)

S. Voß, D. Steenken, R. Stahlbock (2005) Operations research methods for container terminal logistics - a survey. Presented by S. Voß at IFORS Triennial 2005 (July 11-15, 2005, Honolulu, Hawaii, USA)

S. Voß, R. Stahlbock, D. Steenken (2004) A survey on operations research applications in container terminal logistics. Presented by S. Voß at TRISTAN V: The Fifth Triennial Symposium on Transportation Analysis (June 13-18, 2004, Le Gosier, Guadeloupe, French West Indies)

Buchkapitel:

R. Stahlbock, L. Heilig, P. Cammin, S. Voß (2020) Blockchain in der maritimen Logistik. In: H.-G. Fill, A. Meier (Eds.): Blockchain : Grundlagen, Anwendungsszenarien und Nutzungspotenziale, Edition HMD, Springer Vieweg, 235-256

R. Stahlbock, S. Voß (2010) Improving empty container logistics – Can it avoid a collapse in container transportation? In: L. Kroon, T. Li and R. Zuidwijk (eds.) Liber Amicorum In Memoriam Jo Van Nunen, Rotterdam School of Management, Erasmus University, Rotterdam (2010), 217-224

R. Stahlbock, S. Voß (2008) Vehicle Routing Problems and Container Terminal Operations - An Update of Research. In: B. Golden, S. Raghavan, E. Wasil (Eds.): The Vehicle Routing Problem: Latest Advances and New Challenges, Springer US, 2008, 551-589; book: ISBN 978-0-387-77777-1; chapter: DOI: 10.1007/978-0-387-77778-8

S. Lessmann, R. Stahlbock (2005) Support Vektor Klassifikatoren im analytischen Kundenbeziehungsmanagement. In: Rommelfanger, H. (Ed.): Neue Anwendungen von Fuzzy-Logik und Künstlicher Intelligenz, Shaker, Aachen, 113-124

S. F. Crone, S. Lessmann, R. Stahlbock (2005) Support Vector Machines Versus Artificial Neural Networks - New Potential in Data Mining for Customer Relationship Management? In: Wang, D., Lee, K. (Eds.): Neural Networks Applications in Information Technology and Web Engineering, Borneo Publishing, Malaysia, 80-93

D. Steenken, S. Voß, R. Stahlbock (2005) Container terminal operation and operations research - a classification and literature review. In: Günther, H.-O., Kim K.H. (Eds.): Container Terminals and Automated Transport Systems, Springer, Berlin, 3-49 [Springer - Kapitel] [Springer - Buchinfo]

Weitere Veröffentlichungen:

R. Stahlbock (2012; with J.R. Daduna and S. Voß) Transport systems for linking seaport container terminals and dedicated satellite terminals, Working Paper, HWR Berlin and University of Hamburg

R. Stahlbock (2012) Book Review: Yin, Yong, Ikou Kaku, Jiafu Tang, Jian-Ming Zhu. 2011. Data Mining: Concepts, Methods and Applications in Management and Engineering Design. Springer, Heidelberg, Germany. 312 pp. Interfaces 42(4), 415-417, DOI

R. Stahlbock, S. Lessmann (2003) Potential von Support Vektor Maschinen im analytischen Customer Relationship Management, Technical Report TR-01-2003, Institute of Information Systems, University of Hamburg, Germany
         
B. Alex, R. Stahlbock (1996) Unterstützung von Managementaufgaben mit NeuralWare Predict. In: NewsServer 2/1996, pp. 28-30

Herausgeberschaften:

und diverse andere (wird noch aktualisiert)

R. Stahlbock, G. M. Weiss, M. Abou-Nasr, C.-Y. Yang, H. R. Arabnia, L. Deligiannidis (eds.) (2021) Transactions on Computational Science and Computational Intelligence. Advances in Data Science and Information Engineering : Proceedings from ICDATA 2020 and IKE 2020, Springer

H. R. Arabnia, K.Daimi, R. Stahlbock, C. Soviany, L. Heilig, K. Brüssau (eds.) (2022) Transactions on Computational Science and Computational Intelligence. Principles of Data Science, Springer

[2014-2023] Proceedings of DMIN/ICDATA
(wird noch aktualisiert)

M. Abou-Nasr, S. Lessmann, R. Stahlbock, G. Weiss (2015), Real World Data Mining Applications - Special Issue in Annals of Information Systems, Vol. 17, 2015, DOI 10.1007/978-3-319-07812-0, ISSN 1934-3221, Springer

R. Stahlbock, G. M. Weiss (eds.) (2013) Proc. of The 2013 Intern. Conf. on Data Mining (DMIN'13), Las Vegas, Nevada, USA, July 22-25, 2013, CSREA Press

R. Stahlbock (with H. Hu, X. Shi, S. Voß): Computational Logistics - Proc. of the Third International Conference, ICCL 2012, Shanghai, China, September 2012, LNCS 7555, Springer

R. Stahlbock, G. M. Weiss (eds.) (2012) Proc. of The 2012 Intern. Conf. on Data Mining (DMIN'12), Las Vegas, Nevada, USA, July 16-19, 2012, CSREA Press

R. Stahlbock (with J. Böse, H. Hu, C. Jahn, X. Shi, S. Voß): Computational Logistics - Proc. of the Second International Conference, ICCL 2011, Hamburg, Germany, September 2011, LNCS 6971, Springer

R. Stahlbock (ed.) (2011) Proc. of The 2011 Intern. Conf. on Data Mining (DMIN'11), Las Vegas, Nevada, USA, July 18-21, 2011, CSREA Press

R. Stahlbock, S. F. Crone (eds.) (2010)  Proc. of The 2010 Intern. Conf. on Data Mining (DMIN'10), Las Vegas, Nevada, USA, July 12-15, 2010, CSREA Press

R. Stahlbock, S. F. Crone, S. Lessmann (eds.) (2009)  Proc. of The 2009 Intern. Conf. on Data Mining (DMIN'09), Las Vegas, Nevada, USA, July 13-16, 2009, CSREA Press

R. Stahlbock, S. F. Crone, S. Lessmann, (2009),  Data Mining - Special Issue in Annals of Information Systems, Vol. 8, 2010, DOI 10.1007/978-1-4419-1280-0, ISSN 1934-3221 [Springer]

R. Stahlbock, S. F. Crone, S. Lessmann (eds.) (2008)  Proc. of The 2008 Intern. Conf. on Data Mining (DMIN'08), Las Vegas, Nevada, USA, July 14-17, 2008, CSREA Press (Vol. I, II)

R. Stahlbock, S. F. Crone, S. Lessmann (eds.) (2007)  Proc. of The 2007 Intern. Conf. on Data Mining (DMIN'07), Las Vegas, Nevada, USA, June 25-28, 2007, CSREA Press

S. F. Crone, S. Lessmann, R. Stahlbock (eds.) (2006)  Proc. of The 2006 Intern. Conf. on Data Mining (DMIN'06), Las Vegas, Nevada, USA, June 26-29, 2006, CSREA Press

S. F. Crone, S. Lessmann, R. Stahlbock (associate eds.) (2005)  Proc. of The 2005 Intern. Conf. on Artificial Intelligence (ICAI'05), Las Vegas, Nevada, USA, June 27-30, 2005, CSREA Press