Switch to Landscape
Kaufmann Michael HSLU I

Prof. Dr. Michael Kaufmann Michael Kaufmann

Lecturer

Kaufmann Michael HSLU I

Lucerne School of Computer Science and Information Technology

Room 7. Stock, shared
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Research

Lecturer

+41 41 757 68 48

Show email

Biography

Professional background

  • Since 2016: Professor for Databases, Lucerne School of Information Technology, Rotkreuz
  • Since 2016: Board Member, FMsquare Foundation, Rain
  • 2016-2019: Coordinator Research Team Data Intelligence,  Lucerne School of Information Technology, Rotkreuz
  • 2014-2016: Lecturer in Computer Science, Lucerne School of Engineering & Architecture, Horw
  • 2013-2014: Adjunct Lecturer, Kalaidos FH, Bern and Zürich
  • 2011-2014: Business Analyst, FIVE Informatik AG, Schönbühl
  • 2009-2011: Data Architect, Die Mobiliar, Bern
  • 2005-2008: Data Warehouse Analyst, PostFinance, Bern

Education

  • 2015-2023: Habilitation, Faculty of Mathematics and Computer Science, University of Hagen, Germany
  • 2014-2015: Certificate in University Didactics, Center for Learning and Teaching, Lucerne University of Applied Sciences
  • 2008-2012: Doctorate in Computer Science, Research Group Information Systems, University of Fribourg
  • 1999-2005: Study of computer science with minors law and psychology, University of Fribourg
  • 1998-1999: Language year, Northridge CA, Diploma in International Studies
  • 1993-1998: College of Economics, Bern-Neufeld, Matura

 

Subjects
  • Database Systems
  • Databases & Security
  • Database Management for Data Scientists
Teaching and research focus
  • Databases
  • Information Systems
  • Knowledge Discovery
  • Big Data Management

Projects

Research projects

  • IFZ FinTech
  • MinimalTools: Decision Intelligence through Employee Insights and Algorithms
  • MinimalTools: Decision Intelligence through Employee Insights and Algorithms
  • MinimalTools: Decision Intelligence through Employee Insights and Algorithms
  • Vorhersage-Modell zur Früherkennung von Risikoverhalten bei Spielerinnen und Spielern im Online-Glücksspiel
  • Glocal energy value creation systems with Open Big Data and structured decision facilitation
  • ITC Virtual Organ Museum
  • Begleitstudie Pilotprojekt Messung Besucherfrequenzen Luzern
  • Virtuelles Museum
  • enablerr - das ERP der nächsten Generation
  • Zentralschweizer Tourismus Observatoriums – erster Pilot
  • IAC
  • Automatisierte Empfehlungen für Aus- und Weiterbildungen mittels Bildungsgraphen
  • X-MAS: Cross-Plattform Mediation, Association and Search Engine
  • Proof of Concept Social Media Analytics
  • Faireconomy.ch
  • Predictive Analytics for Telekom Marketing Campaigns
  • IS Regionalität von Tweets
  • Intuitive Knowledge Connectivity
  • Intuitive Knowledge Connectivity
  • Erforschung des Nutzens von Fuzzy Logik für die Analyse von Big Data am Beispiel Fuzzy Location Systems

Publications and presentations

Publications and presentations - Book/catalogue

  • Kaufmann, Michael & Meier, Andreas (2019). SQL & NoSQL Databases: Models, Languages, Consistency Options and Architectures for Big Data Management. Wiesbaden: Springer Fachmedien Wiesbaden.
  • Meier, Andreas & Kaufmann, Michael (2016). SQL- & NoSQL-Datenbanken. Berlin Heidelberg: Springer.
  • Kaufmann, Michael (2014). Inductive Fuzzy Classification in Marketing Analytics. Cham Heidelberg New York Dordrecht London: Springer International Publishing.

Publications and presentations - Article, review; peer reviewed

  • Kaufmann, Michael (2022). Fuzzy Ethizität: Radar für ethische Künstliche Intelligenz. HMD Praxis der Wirtschaftsinformatik, 59(2), 538-555. doi: 10.1365/s40702-022-00857-w
  • Kaufmann, Michael & Mancera, José (2022). GDPR-Compliant Social Network Link Prediction in a Graph DBMS: The Case of Know-How Development at Beekeeper. Knowledge, 2022(2), 286-309. doi: https://doi.org/10.3390/knowledge2020017
  • Kaufmann, Michael (2019). Big Data Management Canvas: A Reference Model for Value Creation from Data. Big Data and Cognitive Computing, 3(1), 19.
  • Kaufmann, Michael; Siegfried, Patrick; Huck, Lukas & Stettler, Jürg (2019). Analysis of Tourism Hotspot Behaviour Based on Geolocated Travel Blog Data: The Case of Qyer. ISPRS International Journal of Geo-Information, 8(11), 493. doi: 10.3390/ijgi8110493
  • Mazzola, Luca; Siegfried, Patrick; Waldis, Andreas; Kaufmann, Michael & Denzler, Alexander (2018). A domain specific ESA inspired approach for document semantic description. Proceedings of the 2018 IEEE International Conference on Intelligent Systems (IS), nd.
  • Waldis, Andreas; Mazzola, Luca & Kaufmann, Michael (2018). Concept Extraction with Convolutional Neural Networks. Proceedings of the 7th International Conference on Data Science, Technology and Applications, 118-129.
  • Kaufmann, Michael (19.10.2015). Fuzzylogik: Eine Revolution des Geistes. Informatik Spektrum, 1-8.
  • Nawroth, Christian; Schmedding, Matthäus; Brocks, Holger; Kaufmann, Michael; Fuchs, Michael & Hemmje, Matthias (2015). Towards Cloud-Based Knowledge Capturing Based on Natural Language Processing. Procedia Computer Science, 5(68), 206-216. doi: 10.1016/j.procs.2015.09.236
  • Kaufmann, Michael; Meier, Andreas & Stoffel, Kilian (2015). IFC-Filter: Membership function generation for inductive fuzzy classification. Expert Systems with Applications, 21(42), 8369-8379.

Publications and presentations - Article, review; not peer reviewed

  • Kaufmann, Michael; Huck, Lukas & Stettler, Jürg (01.08.2020). Analyse von Tourismus-Hotspots mit geolokalisierten Reiseblogdaten: der Fall Qyer. gis.Business, 2020(4), 35-37.
  • Kaufmann, Michael (01.08.2014). Die Geister die wir riefen. HMD Praxis der Wirtschaftsinformatik, 51(4), 383-385.
  • Kaufmann, Michael; Kurochkina, Daria; Stoffel, Kilian & Koller, Thomas (31.10.2013). Induktive unscharfe Datenassoziierung: Fallstudie enersis suisse AG. HMD Praxis der Wirtschaftsinformatik, 50(5), 45-55.
  • Zumstein, Darius; Meier, Andreas & Kaufmann, Michael (2009). Erfolgsmessung von NPO Webplattformen. Fachzeitschrift für Verbands- und Nonprofit-Management (VM), 35(3), 16-27.

Publications and presentations - Chapter/legal commentary/lexicon article

  • Mazzola, Luca; Siegfried, Patrick; Waldis, Andreas; Stalder, Florian; Denzler, Alexander & Kaufmann, Michael (2020). A Domain Specific ESA Method for Semantic Text Matching. Intelligent Systems: Theory, Research and Innovation in Application (S. 25-49). Cham: Springer Nature Switzerland AG.
  • Waldis, Andreas; Mazzola, Luca & Kaufmann, Michael (2019). Concept Recognition with Convolutional Neural Networks to Optimize Keyphrase Extraction. In Quix C., Bernardino J. (eds) (Hrsg.), Data Management Technologies and Applications. DATA 2018. Communications in Computer and Information Science, vol 862. (S. 160-188). Cham: Springer Nature Switzerland AG.
  • Hauser, Christoph; Delbiaggio, Katia & Kaufmann, Michael (2018). The proximity bias of communication recorded on Twitter in Switzerland. In Urban Grasjö; Charlie Karlsson; Iréne Bernhard (Hrsg.), Geography, Open Innovation and Entrepreneurship (S. 190-220). Cheltenham and Northhampton: Edward Elgar.
  • Kaufmann, Michael & Portmann, Edy (2017). Synthetische Modellierung von Informationssystemen. Wirtschaftsinformatik in Theorie und Praxis (S. 73-83). Wiesbaden: Springer Vieweg, Wiesbaden.
  • Emmenegger, Sandro; Lutz, Jonas & Kaufmann, Michael (2016). Merging Bottom-Up and Top-Down Knowledge Graphs for Intuitive Knowledge Browsing. In Troels Andreasen; Henning Christiansen; Janusz Kacprzyk; Henrik Larsen; Gabriella Pasi; Olivier Pivert; Guy De Tré; Maria Amparo Vila; Adnan Yazici; Sławomir Zadrożny (Hrsg.), Flexible Query Answering Systems 2015 (S. 445-459). Cham Heidelberg New York Dordrecht London: Springer Verlag.
  • Kaufmann, Michael; Waldis, Andreas; Siegfried, Patrick; Wilke, Gwendolin; Portmann, Edy & Hemmje, Matthias (2016). Intuitive Knowledge Connectivity: Design and Prototyping of Cross-Platform Knowledge Networks. In Franz Lehner, Nora Fteimi (Hrsg.), Knowledge Science, Engineering and Management (S. 337-348). Cham, Switzerland: Springer International Publishing.
  • Kaufmann, Michael & Portmann, Edy (2015). Biomimetics in design-oriented information systems research. In Brian Donnellan, Rob Gleasure, Markus Helfert, Jim Kinneally, Marcus Rothenberger, Monica Chiarini Tremblay, Debra VanderMeer, Robert Winter (Hrsg.), At the Vanguard of Design Science: First Impressions and Early Findings from Ongoing Research Research-in-Progress Papers and Poster Presentations from the 10th International Conference, DESRIST 2015. Dublin, Ireland, 20-22 May. (S. 53-61). Cork: Lettertec Irl. Ltd.
  • Kaufmann, Michael; Portmann, Edy & Hinkelmann, Knut (2014). Combining Bottom-up and Top-down Generation of Interactive Knowledge Maps for Enterprise Search. In Robert Buchmann, Claudiu Vasile Kifor, Jian Yu (Hrsg.), Knowledge Science, Engineering and Management: Proceedings of the 7th International Conference, KSEM 2014 (S. 186-197). Cham Heidelberg New York Dordrecht London: Springer.
  • Kaufmann, Michael; Portmann, Edy & Fathi, Madjid (2013). A concept of semantics extraction from web data by induction of fuzzy ontologies. Proceedings of the 2013 IEEE International Conference on Electro/Information Technology (EIT) (S. 1-6). New York, NY: IEEE.
  • Portmann, Edy; Kaufmann, Michael & Graf, Cédric (2012). A distributed, semiotic-inductive, and human-oriented approach to web-scale knowledge retrieval. Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning (S. 1-8). New York, NY: ACM.
  • Kaufmann, Michael & Graf, Cédric (2012). Fuzzy Target Groups in Analytic Customer Relationship Management. In Meier, Andreas; Donzé, Laurent (Hrsg.), Fuzzy Methods for Customer Relationship Management and Marketing: Applications and Classifications. (S. 168-192). Hershey, PA: IGI Global, Business Science Reference.
  • Kaufmann, Michael (2009). An Inductive Approach to Fuzzy Marketing Analytics. Proceedings of the IASTED International Conference Artificial Intelligence and Soft Computing (ASC 2009) (S. 107-112). Calgary, CA: ACTA Press.
  • Kaufmann, Michael (2009). An inductive fuzzy classification approach applied to individual marketing. Annual Meeting of the North American Fuzzy Information Processing Society (S. 1-6). New York, NY: IEEE.
  • Zumstein, Darius & Kaufmann, Michael (2009). A Fuzzy Web Analytics Model for Web Mining. Proceedings of the IADIS Multi Conference on Computer Science and Information Systems (MCCSIS 2009) on Data Mining (S. 59-66). Lisbon, Portugal: IADIS Press.

Publications and presentations - Report/working paper

  • Kaufmann, Michael (2016). Towards a Reference Model for Big Data Management (Forschungsbericht). Fakultät für Mathematik und Informatik, FernUniversität in Hagen, Hagen.
  • Drobnjak, Aleksandar; Kaufmann, Michael; Hugi, Patrik; Meier, Andreas; Schütze, Roland & Wehrle, Marcel (2011). Führungsinformationssysteme unter Nutzung der unscharfen Logik – Fallbeispiel coop@home (Bericht). Information Systems Research Group, Department of Informatics, University of Fribourg,
  • Kaufmann, Michael & Meier, Andreas (2008). An Inductive Fuzzy Classification Approach Applied to Individual Marketing (Bericht). Information Systems Research Group, Department of Informatics, University of Fribourg,

Publications and presentations - Theses (Bachelor/Master/Dissertation/Habilitation)

  • Kaufmann, Michael (2023). Emergent Knowledge Engineering in Big Data Management. Habilitation, FernUniversität in Hagen, Deutschland.
  • Kaufmann, Michael (2012). Inductive Fuzzy Classification in Marketing Analytics. Dissertation, University of Fribourg, Switzerland.
  • Kaufmann, Michael (2005). Application of Fuzzy Classification to a Data Warehouse in E-Health (nicht veröffentlichte Master-/Lizentiats-/Diplomarbeit). University of Fribourg, Switzerland.
  • Kaufmann, Michael (2004). Reinforcement learning in autonomous robots (nicht veröffentlichte Bachelorarbeit). University of Fribourg, Switzerland.

Publications and presentations - Presentation (conference/report/lectures)

  • Stettler, Jürg; Huck, Lukas; Kaufmann, Michael & Siegfried, Patrick (14.06.2018). Analysing User-Generated Content on the Chinese Social Media Platform Qyer: The Case of Switzerland. Advances in Destination Management, St. Gallen, Switzerland.
  • Kaufmann, Michael (11.12.2017). Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling. 2017 IEEE International Conference on Big Data (Big Data), Boston, MA.
  • Berwind, Kevin; Bornschlegl, Marco; Eljasik, Tobias; Hemmje, Matthias; Kaufmann, Michael & Nawroth, Christian (24.07.2017). Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications. 6th International Conference on Data Science, Technology and Applications, Madrid.
  • Kaufmann, Michael (20.05.2015). Biomimetics in design-oriented information systems research. Tenth International Conference on Design Science Research in Information Systems and Technology DESRIST 2015, Dublin, Ireland.
  • Kaufmann, Michael (16.10.2014). Combining Bottom-up and Top-down Generation of Interactive Knowledge Maps for Enterprise Search. The 7th International Conference on Knowledge Science, Engineering and Management KSEM 2014, Sibiu, Romania.
  • Portmann, Edy & Kaufmann, Michael (29.10.2012). A Distributed, Semiotic-Inductive, and Human-Oriented Approach to Web-Scale Knowledge Retrieval. Web-KR '12 Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning, Maui, Hawaii, USA.
  • Kaufmann, Michael (07.09.2009). An Inductive Approach to Fuzzy Marketing Analytics. The IASTED International Conference Artificial Intelligence and Soft Computing (ASC 2009), Palma, Spain.
  • Kaufmann, Michael (14.06.2009). An inductive fuzzy classification approach applied to individual marketing. Annual Meeting of the North American Fuzzy Information Processing Society, Cincinatti, USA.