DI Dr. Thomas Neuböck

Lecturer
- Science Park 3 - S3 103
- +43 732 2468 4270
- thomas.neuboeck(at)jku.at
- Consultancy hours:by appointment
T. Neuböck: Analysis Process Modeling Notation For Business Intelligence (APMN4BI) (PhD Thesis, 2022) Dissertation, ausgeführt am Institut für Wirtschaftsinformatik - Data & Knowledge Engineering, Betreuung: o. Univ.-Prof. Dr. Michael Schrefl, unter Anleitung von Assoz.-Prof. Mag. Dr. Christoph Schütz und Dr. Bernd Neumayr. |
C. Schütz, B. Neumayr, M. Schrefl, T. Neuböck: Reference Modeling for Data Analysis: The BIRD Approach In: International Journal of Cooperative Information Systems (IJCIS), Volume 25, Issue 2, June 2016, World Scientific Publ., ISSN 0218-8430, 2016. |
T. Neuböck, M. Schrefl: Modelling Knowledge about Data Analysis Processes in Manufacturing In: Proceedings of the 15th IFAC/IEEE/IFIP/IFORS Symposium Information Control Problems in Manufacturing (INCOM 2015), May 11-13, 2015, Ottawa, Canada, IFAC-PapersOnLine, Volume 48, Issue 3, pp. 277-282, 2015. |
T. Neuböck, B. Neumayr, M. Schrefl, C. Schütz: Ontology-driven Business Intelligence for Comparative Data Analysis In: Business Intelligence - Proceedings of the Third European Business Intelligence Summer School (eBISS 2013), Schloss Dagstuhl, Wadern, Germany, July 7-12, 2013, Springer Verlag, Lecture Notes in Business Information Processing (LNBIP Vol. 172), Chapter 3, ISBN 978-3-319-05460-5, pp. 77-120, 2014. |
T. Neuböck, B. Neumayr, T. Rossgatterer, S. Anderlik, M. Schrefl: Multi-dimensional Navigation Modeling using BI Analysis Graphs In: Silvana Castano, Panos Vassiliadis, Laks V. Lakshmanan, Mong-Li Lee (Eds.): Advances in Conceptual Modeling - Proceedings ER 2012 Workshops CMS, ECDM-NoCoDA, MoDIC, MORE-BI, RIGiM, SeCoGIS, WISM; Workshop on Modeling and Reasoning for Business Intelligence (MORE-BI 2012), Florence, Italy, October 15, Springer Verlag, Lecture Notes in Computer Science (LNCS Vol. 7518), ISBN 978-3-642-33998-1, pp. 162-171, 2012. |
Thomas Neuböck teaches the following courses on a regular basis:
SE | Data & Knowledge Engineering | Summer term |
PS | Data & Knowledge Engineering | Winter term |