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DI Dr. Thomas Neuböck

Thomas Neuböck

Lektor

T. Neuböck:
Analysis Process Modeling Notation For Business Intelligence (APMN4BI)
(Dissertation, 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.

Folgende Lehrveranstaltungen werden von Thomas Neuböck regelmäßig abgehalten:

SEData & Knowledge EngineeringSommersemester
PSData & Knowledge EngineeringWintersemester