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ORCIDChristoph G. Schütz
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- affiliation: Johannes Kepler Universität Linz, Austria
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2020 – today
- 2024
[j10]Simon Staudinger
, Christoph G. Schuetz, Michael Schrefl:
A Reference Process for Assessing the Reliability of Predictive Analytics Results. SN Comput. Sci. 5(5): 563 (2024)- [c40]Giel van Bree, Simon Staudinger, Felix Burgstaller, Felix Schiff, Christoph G. Schuetz:
Using Machine Learning to Identify Incorrect Value-Added Tax Reports. AMCIS 2024 - [c39]Sebastian Gruber, Paul Feichtenschlager, Christoph G. Schuetz:
Using Genetic Algorithms for Privacy-Preserving Optimization of Multi-Objective Assignment Problems in Time-Critical Settings: An Application in Air Traffic Flow Management. GECCO 2024 - 2023
- [c38]Kevin Schuetz, Christoph G. Schuetz, Samuel Jaburek:
Privacy-Preserving Implementation of Local Search Algorithms for Collaboratively Solving Assignment Problems in Time-Critical Contexts. CEC 2023: 1-10 - [c37]Simon Staudinger, Christoph G. Schuetz, Michael Schrefl:
Using Multilevel Business Artifacts for Knowledge Management in Analytics Projects. MoDELS (Companion) 2023: 689-698 - 2022
- [j9]Ilko Kovacic, Christoph G. Schuetz, Bernd Neumayr, Michael Schrefl:
OLAP Patterns: A pattern-based approach to multidimensional data analysis. Data Knowl. Eng. 138: 101948 (2022) - [j8]Bernd Neumayr, Christoph G. Schuetz, Michael Schrefl:
Dual Deep Modeling of Business Processes A Contribution to the Multi-Level Process Challenge. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 17 (2022) - [c36]Christoph G. Schuetz, Thomas Lorünser, Samuel Jaburek, Kevin Schuetz, Florian Wohner, Roman Karl, Eduard Gringinger:
A Distributed Architecture for Privacy-Preserving Optimization Using Genetic Algorithms and Multi-party Computation. CoopIS 2022: 168-185 - [p2]Christoph G. Schuetz, Michael Schrefl:
Conceptualizing Analytics: An Overview of Business Intelligence and Analytics from a Conceptual-Modeling Perspective. Digital Transformation 2022: 311-336 - [p1]Christoph G. Schuetz, Matt Selway, Stefan Thalmann, Michael Schrefl:
Discovering Actionable Knowledge for Industry 4.0: From Data Mining to Predictive and Prescriptive Analytics. Digital Transformation 2022: 337-362 - 2021
- [j7]Lan Wang, Christoph G. Schuetz, Dahai Cai:
Choosing Response Strategies in Social Media Crisis Communication: An Evolutionary Game Theory Perspective. Inf. Manag. 58(6): 103371 (2021) - [j6]Christoph G. Schuetz, Loris Bozzato, Bernd Neumayr, Michael Schrefl, Luciano Serafini:
Knowledge Graph OLAP. Semantic Web 12(4): 649-683 (2021) - [c35]Median Hilal, Christoph G. Schuetz:
Semantic Web Analysis Graphs: Guided Multidimensional Analysis of Linked Open Data. AMCIS 2021 - [c34]Simon Staudinger, Christoph G. Schuetz, Michael Schrefl:
A Reference Process for Judging Reliability of Classification Results in Predictive Analytics. DATA 2021: 124-134 - [i1]Thomas Lorünser, Christoph G. Schütz, Eduard Gringinger:
SlotMachine - A Privacy-preserving Marketplace for Slot Management. ERCIM News 2021(126) (2021) - 2020
- [c33]Loris Bozzato, Christoph G. Schuetz:
Towards Distributed Contextualized Knowledge Repositories for Analysis of Large-Scale Knowledge Graphs. CILC 2020: 82-90 - [c32]Sebastian Gruber, Bernd Neumayr, Christoph Fabianek, Eduard Gringinger, Christoph Georg Schütz, Michael Schrefl:
Towards Informed Watermarking of Personal Health Sensor Data for Data Leakage Detection. IWDW 2020: 109-124
2010 – 2019
- 2019
- [c31]Noushin Ashrafi, Daniel Lee, Jean-Pierre Kuilboer, Christoph G. Schütz:
An Integrated Framework to Examine Mobile Users' Pathway from Threat Cognition to Action. ISDFS 2019: 1-5 - [c30]Lan Wang, Christoph G. Schuetz:
A Dynamic Game Model of Crisis Communication on Social Media. PACIS 2019: 64 - [c29]Audun Vennesland, Richard M. Keller, Christoph G. Schuetz, Eduard Gringinger, Bernd Neumayr:
Matching Ontologies for Air Traffic Management: a Comparison and Reference Alignment of the AIRM and NASA ATM Ontologies. OM@ISWC 2019: 1-12 - 2018
- [j5]Median Hilal, Christoph G. Schuetz, Michael Schrefl:
Using superimposed multidimensional schemas and OLAP patterns for RDF data analysis. Open Comput. Sci. 8(1): 18-37 (2018) - [j4]Christoph G. Schuetz, Simon Schausberger, Michael Schrefl:
Building an active semantic data warehouse for precision dairy farming. J. Organ. Comput. Electron. Commer. 28(2): 122-141 (2018) - [j3]Bernd Neumayr, Christoph G. Schuetz, Manfred A. Jeusfeld, Michael Schrefl:
Dual deep modeling: multi-level modeling with dual potencies and its formalization in F-Logic. Softw. Syst. Model. 17(1): 233-268 (2018) - [c28]Ilko Kovacic, Christoph G. Schuetz, Simon Schausberger, Roman Sumereder, Michael Schrefl:
Guided Query Composition with Semantic OLAP Patterns. EDBT/ICDT Workshops 2018: 67-74 - [c27]Christoph G. Schuetz, Eva Mair, Michael Schrefl:
PESTEL Modeler: Strategy Analysis Using MetaEdit+, iStar 2.0, and Semantic Technologies. EDOC Workshops 2018: 216-219 - [c26]Eduard Gringinger, Christoph Fabianek, Christoph G. Schuetz, Johann Stöbich, Bernd Neumayr, Michael Schrefl:
A Proof-of-Concept Implementation of a Semantic Container Management System for Air Traffic Management. EKAW (Posters & Demos) 2018: 69-72 - [c25]Audun Vennesland, Joe Gorman, Scott Wilson, Bernd Neumayr, Christoph G. Schuetz:
Automated Compliance Verification in ATM using Principles from Ontology Matching. KEOD 2018: 39-50 - [c24]Christoph G. Schuetz, Bernd Neumayr, Michael Schrefl, Eduard Gringinger, Audun Vennesland, Scott Wilson:
The Case for Contextualized Knowledge Graphs in Air Traffic Management. CKGSemStats@ISWC 2018 - [c23]Gunnar Brataas, Bernd Neumayr, Christoph G. Schuetz, Audun Vennesland:
Towards Scalability Guidelines for Semantic Data Container Management. ICPE Companion 2018: 17-20 - [r1]Bernd Neumayr, Christoph G. Schuetz:
Multilevel Modeling. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [c22]Eva-Maria Hopfgartner, Christoph G. Schütz, Michael Schrefl:
A Case Study of Success Factors for Data Warehouse Implementation and Adoption in Sales Planning. AMCIS 2017 - [c21]Felix Burgstaller, Bernd Neumayr, Christoph G. Schuetz, Michael Schrefl:
Modification Operations for Context-Aware Business Rule Management. EDOC 2017: 194-203 - [c20]Christoph G. Schuetz, Michael Schrefl:
Towards Formal Strategy Analysis with Goal Models and Semantic Web Technologies. ER Workshops 2017: 144-153 - [c19]Bernd Neumayr, Christoph G. Schuetz, Christian Horner, Michael Schrefl:
DeepRuby: Extending Ruby with Dual Deep Instantiation. MoDELS (Satellite Events) 2017: 252-260 - [c18]Christoph G. Schuetz, Simon Schausberger, Ilko Kovacic, Michael Schrefl:
Semantic OLAP Patterns: Elements of Reusable Business Analytics. OTM Conferences (2) 2017: 318-336 - [c17]Felix Burgstaller, Christoph G. Schütz, Bernd Neumayr, Dieter Steiner, Michael Schrefl:
Towards Contextualized Rule Repositories for the Semantic Web. WSP/WOMoCoE@ISWC 2017: 98-109 - [c16]Median Hilal, Christoph G. Schütz, Michael Schrefl:
An OLAP Endpoint for RDF Data Analysis Using Analysis Graphs. ISWC (Posters, Demos & Industry Tracks) 2017 - 2016
- [j2]Christoph G. Schuetz, Bernd Neumayr, Michael Schrefl, Thomas Neuböck:
Reference Modeling for Data Analysis: The BIRD Approach. Int. J. Cooperative Inf. Syst. 25(2): 1650006:1-1650006:46 (2016) - [c15]Christoph G. Schuetz, Isabelle Sporl, Michael Schrefl:
Design, Management, and Customization of Data Analysis Reference Models Using Indyco Builder and Xquery. EDOC Workshops 2016: 1-4 - 2015
- [b1]Christoph G. Schuetz:
Multilevel Business Processes - Modeling and Data Analysis. Johannes Kepler University Linz, Austria, Springer Vieweg 2015, ISBN 978-3-658-11083-3, pp. 1-17 - [c14]Christoph G. Schuetz, Bernd Neumayr, Michael Schrefl:
Multilevel Modeling for Business Process Automation. EDOC Workshops 2015: 51-60 - [c13]Christoph G. Schuetz, Joachim Roth, Bernd Neumayr, Michael Schrefl:
An OLAP Client for Hetero-Homogeneous Data Warehouses. EDOC Workshops 2015: 140-143 - [c12]Bernd Neumayr, Christoph G. Schuetz, Michael Schrefl:
Towards Ontology-Driven RDF Analytics. ER Workshops 2015: 210-219 - [c11]Andreas Bögl, Michael Karlinger, Christoph G. Schütz, Michael Schrefl, Gustav Pomberger:
Exploiting Semantic Activity Labels to Facilitate Consistent Specialization of Abstract Process Activities. SOFSEM 2015: 475-485 - 2014
- [c10]Christoph G. Schütz, Michael Schrefl:
Variability in Artifact-Centric Process Modeling: The Hetero-Homogeneous Approach. APCCM 2014: 29-38 - [c9]Bernd Neumayr, Manfred A. Jeusfeld, Michael Schrefl, Christoph G. Schütz:
Dual Deep Instantiation and Its ConceptBase Implementation. CAiSE 2014: 503-517 - [c8]Christoph G. Schütz, Michael Schrefl:
Customization of Domain-Specific Reference Models for Data Warehouses. EDOC 2014: 61-70 - 2013
- [c7]Christoph G. Schütz, Bernd Neumayr, Michael Schrefl:
Business Model Ontologies in OLAP Cubes. CAiSE 2013: 514-529 - [c6]Thomas Neuböck, Bernd Neumayr, Michael Schrefl, Christoph G. Schütz:
Ontology-Driven Business Intelligence for Comparative Data Analysis. eBISS 2013: 77-120 - [c5]Bernd Neumayr, Christoph G. Schütz, Michael Schrefl:
Semantic Enrichment of OLAP Cubes: Multi-dimensional Ontologies and Their Representation in SQL and OWL. OTM Conferences 2013: 624-641 - 2012
- [c4]Christoph G. Schütz, Bernd Neumayr, Michael Schrefl:
Integration and Reuse of Heterogeneous Information: Hetero-Homogeneous Data Warehouse Modeling in the Common Warehouse Metamodel. AMCIS 2012 - [c3]Christoph G. Schütz, Lois M. L. Delcambre, Michael Schrefl:
Multilevel Business Artifacts. Business Process Management Workshops 2012: 304-315 - [c2]Christoph G. Schütz, Michael Schrefl, Lois M. L. Delcambre:
Multilevel business process modeling: motivation, approach, design issues, and applications. PIKM 2012: 91-94 - 2011
- [c1]Christoph G. Schütz, Michael Schrefl, Bernd Neumayr, Daniel Sierninger:
Incremental integration of data warehouses: the hetero-homogeneous approach. DOLAP 2011: 25-30
2000 – 2009
- 2009
- [j1]Axel Schröpfer, Florian Kerschbaum, Christoph G. Schütz, Richard Pibernik:
Optimizations for Risk-Aware Secure Supply Chain Master Planning. J. Univers. Comput. Sci. 15(15): 3019-3037 (2009)
Coauthor Index
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