% Encoding: UTF-8 @COMMENT{BibTeX export based on data in FAU CRIS: https://cris.fau.de/} @COMMENT{For any questions please write to cris-support@fau.de} @inproceedings{faucris.118693784, abstract = {ProHTA (Prospective Health Technology Assessment) is a simulation project that aims at estimating the outcome of new medical innovations at an early stage. To this end, hybrid and modular simulations are employed. For this large scale simulation project, efficient management of multidimensional statistical data is important. Therefore, we propose a benchmark to evaluate query processing of this kind of data in relational and non-relational databases. We compare our benchmark with existing approaches and point out differences. This paper presents a mapping to a flexible relational model, JSON documents and RDF. The queries defined for our benchmark are mapped to SQL, SPARQL, the MongoDB query language and MapReduce. Using our benchmark, we evaluate these different systems and discuss differences between them. © 2013 Springer-Verlag.}, address = {Berlin}, author = {Baumgärtel, Philipp and Endler, Gregor and Lenz, Richard}, booktitle = {Advances in Databases and Information Systems}, date = {2013-09-01/2013-09-04}, doi = {10.1007/978-3-642-40683-6{\_}27}, faupublication = {yes}, isbn = {978-3-642-40682-9}, note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD6.abench}, pages = {358-371}, peerreviewed = {Yes}, publisher = {Springer-verlag}, title = {{A} {Benchmark} for {Multidimensional} {Statistical} {Data}}, url = {http://www6.informatik.uni-erlangen.de/publications/public/2013/adbis2013{\_}baumgaertel{\_}Bench.pdf}, venue = {Genoa, Italy}, year = {2013} } @inproceedings{faucris.203450768, author = {Wahl, Andreas Maximilian and Endler, Gregor and Schwab, Peter and Rith, Julian and Herbst, Sebastian and Lenz, Richard}, booktitle = {1st ACM SIGMOD Joint International Workshop on Graph Data Management Experiences and Systems and Network Data Analytics, GRADES-NDA 2018}, doi = {10.1145/3210259.3210270}, faupublication = {yes}, isbn = {9781450356954}, peerreviewed = {unknown}, publisher = {Association for Computing Machinery, Inc}, title = {{A} graph-based framework for analyzing {SQL} query logs}, year = {2018} } @inproceedings{faucris.107091424, address = {New York, NY, USA}, author = {Herbst, Sebastian and Pollner, Thomas Niko and Tenschert, Johannes and Lauterwald, Frank and Endler, Gregor and Meyer-Wegener, Klaus}, booktitle = {DEBS '15 Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems}, date = {2015-06-29/2015-07-03}, doi = {10.1145/2675743.2771830}, faupublication = {yes}, isbn = {978-1-4503-3286-6}, keywords = {animal tracking, complex event processing, continuous queries, data stream processing, disjoint union, object tracking, pattern matching, stream algebra, stream partitioning, time-aware aggregates}, pages = {140-149}, peerreviewed = {Yes}, publisher = {ACM}, series = {DEBS '15}, title = {{An} {Algebra} for {Pattern} {Matching}, {Time}-aware {Aggregates} and {Partitions} on {Relational} {Data} {Streams}}, venue = {Oslo}, year = {2015} } @inproceedings{faucris.110637384, abstract = {In the medical domain, data quality is very important. Since requirements and data change frequently, continuous and sustainable monitoring and improvement of data quality is necessary. Working together with managers of medical centers, we developed an architecture for a data quality monitoring system. The architecture enables domain experts to adapt the system during runtime to match their specifications using a built-in rule system. It also allows arbitrarily complex analyses to be integrated into the monitoring cycle. We evaluate our architecture by matching its components to the well-known data quality methodology TDQM.}, address = {Amsterdam}, author = {Endler, Gregor and Schwab, Peter and Wahl, Andreas Maximilian and Tenschert, Johannes and Lenz, Richard}, booktitle = {MEDINFO 2015: eHealth-enabled Health}, date = {2015-08-19/2015-08-23}, doi = {10.3233/978-1-61499-564-7-852}, faupublication = {yes}, isbn = {978-1-61499-563-0}, keywords = {Medical Informatics; Data Quality; Quality Control; Quality Improvement; Data Collection; Databases, Factual; Group Practice}, note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD6.anarch}, pages = {852-856}, peerreviewed = {Yes}, publisher = {IOS Press}, series = {Studies in Health Technology and Informatics}, title = {{An} {Architecture} for {Continuous} {Data} {Quality} {Monitoring} in {Medical} {Centers}}, url = {http://ebooks.iospress.nl/publication/40330}, venue = {São Paulo, Brasilien}, volume = {216}, year = {2015} } @inproceedings{faucris.118456404, abstract = {In this paper, we show that in cooperative environments like medical supply centers, new demands on IT infrastructure are created that cannot be satisfied by traditional information systems. We demonstrate our vision for a system to remedy this situation by offering smooth pay-as-you-go migration instead of forced integration to autonomous data management systems.
We give an evaluation of applicability of traditional techniques in the field, followed by our planned approach for this project, including a panoramic view of our proposed system architecture.}, author = {Endler, Gregor and Langer, Michael and Purucker, Jörg and Lenz, Richard}, booktitle = {Informatik 2011}, date = {2011-10-04/2011-10-07}, faupublication = {yes}, keywords = {data integration; data quality; dataspaces; smooth migration; demand-driven improvement}, note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD6.anevol}, pages = {399}, peerreviewed = {Yes}, series = {GI-Edition-Lecture Notes in Informatics (LNI)}, title = {{An} {Evolutionary} {Approach} to {IT} {Support} in {Medical} {Supply} {Centers}}, url = {http://www.user.tu-berlin.de/komm/CD/paper/090114.pdf}, venue = {TU Berlin}, volume = {192}, year = {2011} } @inproceedings{faucris.123165064, author = {Wahl, Andreas Maximilian and Endler, Gregor and Schwab, Peter and Herbst, Sebastian and Lenz, Richard}, booktitle = {Datenbanksysteme für Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS)}, date = {2017-03-06/2017-03-10}, faupublication = {yes}, peerreviewed = {Yes}, publisher = {Springer}, title = {{Anfrage}-getriebener {Wissenstransfer} zur {Unterstützung} von {Datenanalysten}}, venue = {Stuttgart}, year = {2017} } @inproceedings{faucris.121808764, abstract = {
Kunze et al. konnten in einem initialen Experiment zur Gestenerkennung von Tai Chi Bewegungen nachweisen, dass Beschleunigungs- und Magnetfeldsensoren geeignet sind, die relativ langsamen und sanften Gesten in Tai Chi automatisch zu erkennen. Wir berichten von einer experimentellen Studie, die untersucht, ob dies auch für die im Allgemeinen schnelleren und kraftvolleren Bewegungen der Kampfkunst Kung Fu zutrifft.
Mit insgesamt sechs Testpersonen wurden Aufnahmen durchgeführt. Dabei wurden mit jeder Testperson Grundtechniken aus dem Nam Wah Pai Kung Fu je 20 mal wiederholt: Hoch-, Tief-, und Außenblock, gerader Faustschlag, Aufwärtshaken, Unterarmschlag und Fingerspeer. Dabei waren die Beschleunigungssensoren an Handgelenk und Oberarm angebracht, die Magnetfeldsensoren an Brust und Handgelenk. Zur Klassifikation der Gesten kamen Techniken aus dem Machine Learning und der Zeitreihenanalyse zum Einsatz.
Zwei Szenarien wurden unterschieden: Im nutzerabhängigen Fall wurden zwei Drittel der Daten einer einzelnen Testperson als Trainingsdaten für das System verwendet, das letzte Drittel wurde als Testdaten verwendet. Hier konnten 85% - 100% der Gesten korrekt klassifiziert werden. Im nutzerunabhängigen Fall hingegen wurde das System mit den vollständigen Daten einiger ausgewählter Testpersonen trainiert, und schließlich auf den Daten der verbleibenden getestet. Hier wurden im besten Fall Erkennungsraten von 65% erreicht.
Unsere Experimente zeigen, dass Beschleunigungs- und Magnetfeldsensoren zur Erkennung von Kung Fu Gesten geeignet sind. Dabei ist der nutzerabhängige Fall klar besser als der nutzerunabhängige. Ein System, das ohne vorherige Kalibrierung auf den Nutzer dessen Gesten erkennen kann, ist also noch nicht erreicht. Verglichen mit einem rein zufälligen Klassifikator (mittlere Erkennungsrate 14,3%) ist jedoch auch das Ergebnis des nutzerunabhängigen Teils vielversprechend.
}, author = {Endler, Gregor}, booktitle = {Kampfkunst und Kampfsport in Forschung und Lehre 2014}, date = {2014-10-09/2014-10-11}, editor = {Marquardt, Anja; Kuhn, Peter}, faupublication = {yes}, isbn = {978-3-88020-627-4}, keywords = {Gestenerkennung; Kung Fu; Sensoren}, note = {UnivIS-Import:2015-04-17:Pub.2015.tech.IMMD.IMMD6.automa}, pages = {162-169}, peerreviewed = {Yes}, publisher = {Feldhaus Verlag}, title = {{Automatische} {Erkennung} von {Kung} {Fu} {Gesten} mittels {Magnetfeld}- und {Beschleunigungssensoren}}, url = {https://www6.cs.fau.de/publications/public/2014/KuK2014{\_}endler.pdf}, venue = {Ludwigsburg}, year = {2015} } @inproceedings{faucris.203451046, author = {Wahl, Andreas Maximilian and Endler, Gregor and Schwab, Peter and Herbst, Sebastian and Rith, Julian and Lenz, Richard}, booktitle = {30th International Conference on Scientific and Statistical Database Management, SSDBM 2018}, doi = {10.1145/3221269.3223025}, faupublication = {yes}, isbn = {9781450365055}, peerreviewed = {unknown}, publisher = {Association for Computing Machinery}, title = {{Crossing} an {OCEAN} of queries: {Analyzing} {SQL} query logs with {OCEANLog}}, year = {2018} } @inproceedings{faucris.121753544, abstract = {The trend to merge medical practices into cooperatively operating networks and organizational units like Medical Supply Centers generates new challenges for an adequate IT support. In particular, new use cases for common economic planning, controlling and treatment coordination arise. This requires consolidation of data originating from heterogeneous and autonomous software systems. Heterogeneity and autonomy are core reasons for low data quality. The intuitive approach of initially integrating heterogeneous systems into a federated system creates a very high upfront effort before the system can become operable and does not adequately consider the fact that data quality requirements might change over time. To remedy this, we propose an approach for continuous data quality improvement which enables a demand driven step by step system integration. By adapting the generic Total Data Quality Management process to healthcare specific use cases, we are developing an extended model for continuous data quality management in cooperative healthcare settings. The IT tools which are needed to provide the information that drives this process are currently in development within a government supported project involving both industry and academia. © 2012 ACM.}, address = {New York, NY, USA}, author = {Endler, Gregor}, booktitle = {Proceedings of the SIGMOD/PODS 2012 PhD Symposium}, date = {2012-05-20/2012-05-20}, doi = {10.1145/2213598.2213606}, faupublication = {yes}, isbn = {978-1-4503-1326-1}, keywords = {co-operative healthcare delivery; data quality management; demand-driven improvement}, note = {UnivIS-Import:2015-04-16:Pub.2012.tech.IMMD.IMMD6.dataqu}, pages = {21-26}, peerreviewed = {Yes}, publisher = {ACM}, title = {{Data} quality and integration in collaborative environments}, url = {http://doi.acm.org/10.1145/2213598.2213606}, venue = {Scottsdale, Arizona, USA}, year = {2012} } @inproceedings{faucris.118563104, address = {Düsseldorf}, author = {Endler, Gregor and Baumgärtel, Philipp and Held, Johannes and Lenz, Richard}, booktitle = {GMDS 2012}, date = {2012-09-16/2012-09-21}, doi = {10.3205/12gmds112}, faupublication = {yes}, keywords = {data quality; population completeness}, note = {UnivIS-Import:2015-04-16:Pub.2012.tech.IMMD.IMMD6.dataqu{\_}2}, peerreviewed = {Yes}, publisher = {German Medical Science GMS Publishing House}, title = {{Data} quality for managers of medical supply centers}, venue = {Braunschweig}, year = {2012} } @inproceedings{faucris.110646404, abstract = {Measuring the completeness of a data population often requires either expert knowledge or the presence of reference data. If neither is available, measuring population completeness becomes nontrivial. We present the ForCE approach (Forecasting for Completeness Estimation), a method to estimate the completeness of timestamped data using time series forecasting. We evaluate the method’s feasibility using a medical domain real-world dataset, which we provide for download. The method is compared to three baselines. ForCE manages to surpass all three.}, address = {Switzerland}, author = {Endler, Gregor and Baumgärtel, Philipp and Wahl, Andreas Maximilian and Lenz, Richard}, booktitle = {Advances in Databases and Information Systems}, date = {2015-09-08/2015-09-11}, doi = {10.1007/978-3-319-23135-8{\_}18}, faupublication = {yes}, isbn = {978-3-319-23134-1}, keywords = {Data quality, Population completeness, Time series, Forecasting}, note = {UnivIS-Import:2015-10-26:Pub.2015.tech.IMMD.IMMD6.forcei}, pages = {261-274}, peerreviewed = {Yes}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {{ForCE}: {Is} {Estimation} of {Data} {Completeness} {Through} {Time} {Series} {Forecasts} {Feasible}?}, url = {http://link.springer.com/chapter/10.1007/978-3-319-23135-8{\_}18}, venue = {Futuroscope, Poitiers - France}, year = {2015} } @inproceedings{faucris.118763304, address = {Piscataway, NJ, USA}, author = {Baumgärtel, Philipp and Endler, Gregor and Wahl, Andreas Maximilian and Lenz, Richard}, booktitle = {Proceedings of the 2014 Winter Simulation Conference}, date = {2014-12-07/2014-12-10}, doi = {10.1109/WSC.2014.7019934}, faupublication = {yes}, note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD6.invers}, pages = {710-721}, peerreviewed = {Yes}, publisher = {IEEE Press}, title = {{Inverse} {Uncertainty} {Propagation} for {Demand} {Driven} {Data} {Acquisition}}, url = {https://www6.cs.fau.de/publications/public/2014/WinterSim2014{\_}baumgaertel.pdf}, venue = {Savannah, GA 31421, USA}, year = {2014} } @inproceedings{faucris.118563764, address = {Düsseldorf}, author = {Baumgärtel, Philipp and Endler, Gregor and Held, Johannes and Lenz, Richard}, booktitle = {GMDS 2012}, date = {2012-09-16/2012-09-21}, doi = {10.3205/12gmds047}, faupublication = {yes}, note = {UnivIS-Import:2015-04-16:Pub.2012.tech.IMMD.IMMD6.payasy}, peerreviewed = {Yes}, publisher = {German Medical Science GMS Publishing House}, title = {{Pay}-as-you-go data integration for large scale healthcare simulations}, venue = {Braunschweig}, year = {2012} } @inproceedings{faucris.118695544, abstract = {Medical practitioners often link their databases to support new use cases of the medical sector, e.g. in economic planning or treatment coordination. Data quality requirements for these use cases differ from the original requirements on the databases. We argue that any system seeking to support data quality in this scenario requires significant evolutionary power. We suggest an approach to continuously improve data quality which scales with arising requirements in a pay-as-you-go manner.}, author = {Endler, Gregor and Baumgärtel, Philipp and Lenz, Richard}, booktitle = {Proceedings of the eHealth2013}, date = {2013-05-23/2013-05-24}, editor = {Ammenwerth E, Hörbst A, Hayn D, Schreier G}, faupublication = {yes}, keywords = {Data Quality Management; Demand-Driven Improvement}, note = {UnivIS-Import:2015-04-16:Pub.2013.tech.IMMD.IMMD6.payasy}, pages = {13-18}, peerreviewed = {Yes}, title = {{Pay}-as-you-go data quality improvement for medical centers}, url = {http://www.ehealth20xx.at/wp-content/uploads/scientific-papers/2013/endler.pdf}, venue = {Wien}, year = {2013} } @inproceedings{faucris.106736784, author = {Wahl, Andreas Maximilian and Endler, Gregor and Schwab, Peter and Herbst, Sebastian and Lenz, Richard}, booktitle = {New Trends in Databases and Information Systems}, date = {2018-09-24/2018-01-27}, faupublication = {yes}, peerreviewed = {Yes}, title = {{Query}-{Driven} {Knowledge}-{Sharing} for {Data} {Integration} and {Collaborative} {Data} {Science}}, venue = {Nicosia}, year = {2017} } @inproceedings{faucris.106945344, abstract = {ruleDQ realisiert ein Regelsystem zur automatisierten Messung und Verbesserung von Datenqualität. Anwendern ohne informatisches Fachwissen wird es ermöglicht, eigenständig Datenqualitätsregeln aufzustellen. Die Regeln werden von ruleDQ regelmäßig ausgewertet und erlauben eine Quantifizierung und Analyse von Datenqualitätsmängeln. ruleDQ folgt dabei den Prinzipien eines kontinuierlichen Datenqualitätsmanagements um nachhaltige Verbesserungen zu ermöglichen.}, author = {Gorupec, Mihael and Endler, Gregor}, booktitle = {Lecture Notes in Informatics (LNI) Seminars 13 / Informatiktage 2014}, date = {2014-03-27/2014-03-28}, faupublication = {yes}, isbn = {978-3-88579-447-9}, note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD6.ruledq}, pages = {37-40}, peerreviewed = {Yes}, title = {{ruleDQ}: {Ein} {Regelsystem} zur {Datenqualitätsverbesserung} medizinischer {Informationssysteme}}, url = {http://www6.informatik.uni-erlangen.de/publications/public/2014/gi{\_}informatiktage{\_}2014{\_}gorupec{\_}endler.pdf}, venue = {HPI – Hasso-Plattner-Institut, Potsdam}, year = {2014} } @inproceedings{faucris.118471804, author = {Endler, Gregor and Langer, Michael and Purucker, Jörg and Lenz, Richard}, booktitle = {Biometrie, Epidemiologie und Informatik - Gemeinsam forschen für Gesundheit}, date = {2011-09-26/2011-09-29}, faupublication = {yes}, isbn = {978-3-87409-511-2}, keywords = {data integration; data quality; dataspaces; smooth migration; demand-driven improvement}, note = {UnivIS-Import:2015-04-16:Pub.2011.tech.IMMD.IMMD6.smooth}, pages = {725-726}, peerreviewed = {Yes}, title = {{Smooth} migration instead of forced integration: {A} real-time {ERP} system for medical supply centers and networked practices}, url = {http://www.egms.de/static/en/meetings/gmds2011/11gmds452.shtml}, venue = {Johannes Gutenberg Universität Mainz}, year = {2011} } @inproceedings{faucris.118763964, abstract = {ProHTA (Prospective Health Technology Assessment) aims at understanding the impact of innovative medical processes and technologies at an early stage. To that end, large scale healthcare simulations are employed to estimate the effects of potential innovations. Simulation techniques are also utilized to detect areas with a high potential for improving the supply chain of healthcare. The data needed for both validating and adjusting these simulations typically comes from various heterogeneous sources and is often preaggregated and insufficiently documented. Thus, new data management techniques are required to cope with these conditions. Because of the high initial integration effort, we propose a pay-as-you-go approach using RDF. Thereby, data storage is separated from semantic annotation. Our proposed system offers automatic initial integration of various data sources. Additionally, it provides methods for searching semantically annotated data and for loading it into the simulation. The user can add annotations to the data in order to enable semantic integration on demand. In this paper, we demonstrate the feasibility of this approach with a prototype implementation. We discuss benefits and remaining challenges. Copyright © 2014 SCITEPRESS - Science and Technology Publications. All rights reserved.}, address = {Portugal}, author = {Baumgärtel, Philipp and Endler, Gregor and Lenz, Richard}, booktitle = {Proceedings of the International Conference on Health Informatics}, date = {2014-03-03/2014-03-06}, doi = {10.5220/0004734201720177}, faupublication = {yes}, isbn = {978-989-758-010-9}, keywords = {Data integration; Data management; Healthcare; Simulation}, note = {UnivIS-Import:2015-04-16:Pub.2014.tech.IMMD.IMMD6.toward}, pages = {172-177}, peerreviewed = {Yes}, publisher = {SciTePress}, title = {{Toward} {Pay}-{As}-{You}-{Go} {Data} {Integration} for {Healthcare} {Simulations}}, url = {http://www6.informatik.uni-erlangen.de/publications/public/2014/hi2014{\_}baumgaertel.pdf}, venue = {Loire Valley, France}, year = {2014} } @inproceedings{faucris.111611984, author = {Held, Johannes and Endler, Gregor and Baumgärtel, Philipp and Lenz, Richard}, booktitle = {GMDS 2012}, date = {2012-09-16/2012-09-21}, doi = {10.3205/12gmds078}, faupublication = {yes}, peerreviewed = {Yes}, title = {{Verbesserte} {Integration} von {Medizintechnik} durch {Testdatenqualität}}, url = {http://www.gmds2012.de/}, venue = {Braunschweig}, year = {2012} } @inproceedings{faucris.123164844, author = {Wahl, Andreas Maximilian and Endler, Gregor and Schwab, Peter and Herbst, Sebastian and Lenz, Richard}, booktitle = {2017 ACM Conference on Computer Supported Cooperative Work and Social Computing}, date = {2017-02-25/2017-03-01}, faupublication = {yes}, peerreviewed = {Yes}, publisher = {ACM}, title = {{We} {Can} {Query} {More} than {We} {Can} {Tell}: {Facilitating} {Collaboration} {Through} {Query}-{Driven} {Knowledge}-{Sharing}}, venue = {Portland, Oregon}, year = {2017} }