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2020 – today
- 2023
[c20]Johannes Schrott
, Rainer Meindl, Christian Lettner, Wolfram Wöß, Lisa Ehrlinger:
DQD: The Data Quality Definition Ontology. MTSR 2023: 291-297- 2022
- [c19]Lisa Ehrlinger, Christian Lettner, Werner Fragner, Günter Gsellmann, Susanne Nestelberger, Franz Rauchenzauner, Stefan Schützeneder, Martin Tiefengrabner, Jürgen Zeindl:
Data Integration, Management, and Quality: From Basic Research to Industrial Application. DEXA Workshops 2022: 167-178 - [c18]Aleksei Karetnikov, Tobias Rehberger, Christian Lettner, Johannes Himmelbauer, Ramin Nikzad-Langerodi, Günter Gsellmann, Susanne Nestelberger, Stefan Schützeneder:
Using Property Graphs to Segment Time-Series Data. DEXA Workshops 2022: 416-423 - [c17]Johannes Schrott, Sabine Weidinger, Martin Tiefengrabner, Christian Lettner, Wolfram Wöß, Lisa Ehrlinger:
GOLDCASE: A Generic Ontology Layer for Data Catalog Semantics. MTSR 2022: 26-38 - 2021
- [c16]Omar Veledar, Eric Armengaud, Leo Happ Botler, Violeta Damjanovic-Behrendt, Christian Derler, Stefan Jaksic, Lukas Krammer, Christian Lettner, Georg Macher, Stefan Marksteiner, Andreas Martin, Martin Matschnig, Peter Priller, Sebastian Ramacher, Kay Römer, Christoph Schmittner, Christina Tiefnig, Heribert Vallant, Heinz Weiskirchner, Mario Drobics:
Steering Drivers of Change: Maximising Benefits of Trustworthy IoT. EuroSPI 2021: 663-674 - 2020
- [c15]Radoslava Svihrová, Christian Lettner:
A semi-supervised approach for network intrusion detection. ARES 2020: 93:1-93:6 - [c14]Christian Lettner, Reinhard Stumptner, Werner Fragner, Franz Rauchenzauner, Lisa Ehrlinger:
DaQL 2.0: Measure Data Quality based on Entity Models. ISM 2020: 772-777
2010 – 2019
- 2019
- [c13]Jorge Martínez Gil, Reinhard Stumptner, Christian Lettner, Mario Pichler, Werner Fragner:
Design and Implementation of a Graph-Based Solution for Tracking Manufacturing Products. ADBIS (Short Papers and Workshops) 2019: 417-423 - [c12]Lisa Ehrlinger, Verena Haunschmid, Davide Palazzini, Christian Lettner:
A DaQL to Monitor Data Quality in Machine Learning Applications. DEXA (1) 2019: 227-237 - [c11]Jorge Martínez Gil, Reinhard Stumptner, Christian Lettner, Mario Pichler, Salma Mahmoud, Patrick Praher, Bernhard Freudenthaler:
General Model for Tracking Manufacturing Products Using Graph Databases. SIMPDA 2019: 86-100 - 2016
- [c10]Christine Natschläger, Felix Kossak, Christian Lettner, Verena Geist, Andreas Denkmayr, Beate Käferböck:
A Practical Approach for Process Mining in Production Processes. ERP Future 2016: 87-95 - 2015
- [c9]Reinhard Stumptner, Christian Lettner, Bernhard Freudenthaler:
Combining Relational and NoSQL Database Systems for Processing Sensor Data in Disaster Management. EUROCAST 2015: 663-670 - [c8]Reinhard Stumptner, Christian Lettner, Bernhard Freudenthaler, Josef Pichler, Wilhelm Kirchmayr, Ewald Draxler:
Maintaining and Analyzing Production Process Definitions Using a Tree-Based Similarity Measure. ICCBR 2015: 366-380 - 2014
- [c7]Christian Lettner, Reinhard Stumptner, Karl-Heinz Bokesch:
An Approach on ETL Attached Data Quality Management. DaWaK 2014: 1-8 - [c6]Christian Lettner, Michael Zwick:
A Data Analysis Framework for High-variety Product Lines in the Industrial Manufacturing Domain. ICEIS (1) 2014: 209-216 - [c5]Thomas Steinmaurer, Patrick Traxler, Michael Zwick, Reinhard Stumptner, Christian Lettner:
Combining Stream Processing Engines and Big Data Storages for Data Analysis. ISMIS 2014: 476-485 - 2013
- [c4]Christian Lettner, Mario Pichler, Wilhelm Kirchmayr, Friedrich Kokert, Martin Habringer:
RDFreduce: Customized Aggregations with Provenance for RDF Data based on an Industrial Use Case. iiWAS 2013: 336 - 2010
- [c3]Christian Lettner, Christian Hawel, Bernhard Freudenthaler, Ewald Draxler:
Conceptual Models for Metadata Integration and Architecture Evolution. KEOD 2010: 269-275
2000 – 2009
- 2008
- [c2]Christian Lettner, Christian Hawel, Thomas Steinmaurer, Dirk Draheim:
Complex Event Processing for Sensor Based Data Auditing. ICEIS (1) 2008: 485-491 - 2006
- [c1]Michael Zwick, Christian Lettner, Christian Hawel:
Implementing Automated Analyses in an Active Data Warehouse Environment Using Workflow Technology. TEAA 2006: 341-354
Coauthor Index
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