Kruse, Felix End-to-End-Datenintegration von Realwelt-Entitäten,
Konzeption eines Record Linkage-Prozesses, Feldexperimente, unternehmensrelevante Implikationen,
2022
BibTeX
@inproceedings{978-3-8440-8836-6,
title={End-to-End-Datenintegration von Realwelt-Entitäten},
author={Kruse, Felix},
booktitle={Konzeption eines Record Linkage-Prozesses, Feldexperimente, unternehmensrelevante Implikationen},
pages={218},
year= {2022},
publisher= {Shaker Verlag},
abstract= {In dieser Arbeit wird ein Record Linkage-System erforscht und entwickelt welches die Ziele hat, (1) Datenquellen-unabhängig zu sein und (2) den manuellen Prüfaufwand zu reduzieren, um die Automatisierung der Datenintegration weiter voranzutreiben. Die Kernidee des Konzepts zur Entwicklung des Record Linkage-Systems basiert auf der Einschränkung der zu integrierenden Datenquellen über eine Realwelt-Entität wie bspw. Unternehmen. Für diese Realwelt-Entität können dann die häufig vorkommenden Informationen abgeleitet werden und von diesen können die häufig vorkommenden Datenintegrationsprobleme abgeleitet werden, für die geeignete Algorithmen und Verfahren entwickelt werden können. Innerhalb von neun Feldexperimenten wurde das Konzept in ein prototypisches Record Linkage-System überführt. Das prototypische Record Linkage-System, der Unternehmen-Matcher, wurde in vier Fallstudien mit den Industriepartnern Volkswagen AG, EWE TEL GmbH, CEWE Stiftung & Co. KGaA und Oldenburgisch Ostfriesischer Wasserverband evaluiert. Die Evaluation des Unternehmen-Matcher hat gezeigt, dass dieser die Automatisierung der Datenintegration ermöglicht und diese Arbeit damit einen Beitrag zur Forschung der Datenintegration leistet.},
isbn= {978-3-8440-8836-6}
}
Nonnenmacher, Jakob and Kruse, Felix and Schumann, Gerrit and Marx Gómez, Jorge, Using Autoencoders for Data-Driven Analysis in Internal Auditing,
Proceedings of the 54th Hawaii International Conference on System Sciences,
2021
BibTeX
@inproceedings{nonnenmacherusing,
title={Using Autoencoders for Data-Driven Analysis in Internal Auditing},
author={Nonnenmacher, Jakob and Kruse, Felix and Schumann, Gerrit and Marx G{\'o}mez, Jorge},
booktitle={Proceedings of the 54th Hawaii International Conference on System Sciences},
pages={5748}
}
G. Schumann, F. Kruse, J. Nonnenmacher A Practice-Oriented, Control-Flow-Based Anomaly Detection Approach for Internal Process Audits,
Service-Oriented Computing,
2020 | conference-paper
BibTeX
@article{10.1007/978-3-030-65310-1_39,
author= {Schumann, Gerrit and Kruse, Felix and Nonnenmacher, Jakob},
editor= {Kafeza, Eleanna and Benatallah, Boualem and Martinelli, Fabio and Hacid, Hakim and Bouguettaya, Athman and Motahari, Hamid},
title= {A Practice-Oriented, Control-Flow-Based Anomaly Detection Approach for Internal Process Audits},
booktitle= {Service-Oriented Computing},
year= {2020},
publisher= {Springer International Publishing},
address= {Cham},
pages= {533--543},
abstract= {Internal auditing tries to identify anomalies, weaknesses and manipulations in business processes in order to protect the company from risks. Due to the digitalization of processes, auditors also have to check the associated data volumes. Already existing IT-systems focus on process-related data where the control flow, i.e. the actual sequence of process events, is not considered. This paper examines how the control flow and the process-related data can be analyzed in combination to support auditors in process auditing. To realize this, audit requirements were collected in the literature and evaluated by auditors from industry. On this basis, a concept with five indicators was developed, then transferred into a prototype and evaluated using real-life data as well as two auditors. The results show that the requirements can be technically realized and the developed indicators enable auditors to identify and interpret abnormal process executions.},
isbn= {978-3-030-65310-1}}
}
C. Schröer, F. Kruse, J. Marx Gómez A Qualitative Literature Review on Microservices Identification Approaches
Service-Oriented Computing,
2020 | conference-paper
BibTeX
@article{10.1007/978-3-030-64846-6_9,
author= {Schr{\"o}er, Christoph and Kruse, Felix and Marx G{\'o}mez, Jorge},
editor= {Dustdar, Schahram},
title= {A Qualitative Literature Review on Microservices Identification Approaches},
booktitle= {Service-Oriented Computing},
year= {2020}, publisher= {Springer International Publishing},
address= {Cham},
pages= {151--168},
abstract= {Microservices has become a widely used and discussed architectural style for designing modern applications due to advantages like granular scalability and maintainability. However, it is still a complex task decomposing an application into microservices. Software architects often design architectures manually. In this paper we give a state-of-the-art overview of current approaches to identifying microservices. Therefore we use a literature review and classify the content based on the software development process.},
isbn= {978-3-030-64846-6}}
}
P. Behnen, R. Kessler, F. Kruse, J. Marx Gómez, J. Schoenmakers, S. Zerr Experimental Evaluation of Scale, and Patterns of Systematic Inconsistencies in Google Trends Data,
2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020),
2020
URL
BibTeX
@article{philipp2020experimental,
author = {Philipp, Behnen and Rene, Kessler and Felix, Kruse and Jorge, Marx Gómez and Jan, Schoenmakers and Sergej, Zerr},
biburl = {https://www.bibsonomy.org/bibtex/288bc1eb42fae0b83e9df3c0014a70bf2/zerr},
interhash = {d599305d945e305b930c2df8de578559}, intrahash= {88bc1eb42fae0b83e9df3c0014a70bf2},
journal = {2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) @ ECML PKDD },
timestamp = {2020-09-02T10:31:23.000+0200},
title = {Experimental Evaluation of Scale, and Patterns of Systematic Inconsistencies in Google Trends Data},
year = {2020}}
}
P. Behnen, R. Kessler, F. Kruse, J. Marx Gómez, J. Schoenmakers, S. Zerr White Paper: Evidence, Scale, and Patterns of Systematic Inconsistencies in Google Trends data,
2020
URL
BibTeX
@article{https://doi.org/10.13140/rg.2.2.26974.66880,
doi = {10.13140/RG.2.2.26974.66880},
url = {http://rgdoi.net/10.13140/RG.2.2.26974.66880},
author = {Behnen, Philipp and Kessler, René and Kruse, Felix and Schoenmakers, Jan and Zerr, Sergej and Marx Gómez, Jorge},
language = {en},
title = {White Paper: Evidence, Scale, and Patterns of Systematic Inconsistencies in Google Trends data},
publisher = {Unpublished},
year = {2020}}
}
P. Behnen, F. Kruse, J. Marx Gómez, Word-Embedding Benchmarking,
WI2020 Zentrale Tracks,
2020
URL
DOI
BibTeX
@incollection{Behnen.2020,
author = {Behnen, Philipp and Kruse, Felix and Marx Gómez, Jorge},
title = {Word-Embedding Benchmarking},
booktitle = {WI2020 Zentrale Tracks},
publisher = {GITO Verlag},
year = {2020},
pages = {242--256},
doi = {https://doi.org/10.30844/wi%7B%5Ctextunderscore%7D2020%7B%5Ctextunderscore%7Dc3-behnen}
}
F. Kruse, A. P. Hassan, J.-P. Awick and J. Marx Gómez, A Qualitative Literature Review on Linkage Techniques for Data Integration,
53nd Hawaii International Conference on System Sciences, HICSS 2020,
Grand Wailea, Maui, Hawaii, USA, January 7-10, 2020,
2020
URL
BibTeX
@inproceedings{DBLP:conf/hicss/kruse20,
author = {Kruse, Felix and Hassan, Ahmad Pajam and Awick, Jan-Philipp and Marx Gómez, Jorge},
title = {A Qualitative Literature Review on Linkage Techniques for Data Integration},
booktitle = {53nd Hawaii International Conference on System Sciences, HICSS 2020,
Grand Wailea, Maui, Hawaii, USA, January 7-10, 2020},
year = {2020},
pages = {1063--1073},
url = {http://hdl.handle.net/10125/63871}
}
F. Kruse, Towards a Record Linkage Layer to Support Big Data Integration,
Business Information Systems Workshops, BIS 2019, Sevilla,
2019
BibTeX
@inproceedings{10.1007/978-3-030-36691-9_52,
author = {Kruse, Felix},
title = {Towards a Record Linkage Layer to Support Big Data Integration},
booktitle = {Business Information Systems Workshops},
publisher = {Springer International Publishing},
year = {2019},
pages = {625--636}
}
R. Kessler, F. Kruse, V. Dmitriyev, G. Berghaus and. J. Marx Gómez Bewertung der Digitalisierungspotenziale von Geschäftsprozessen,
Digitale Geschäftsmodelle -- Band 1: Geschäftsmodell-Innovationen, digitale Transformation, digitale Plattformen, Internet der Dinge und Industrie 4.0,
2019
DOI
URL
BibTeX
@inbook{Kessler2019,
author = {Kessler, René
and Kruse, Felix
and Dmitriyev, Viktor
and Berghaus, Gerrit
and Gómez, Jorge Marx},
title = {Bewertung der Digitalisierungspotenziale von Geschäftsprozessen},
booktitle = {Digitale Geschäftsmodelle -- Band 1: Geschäftsmodell-Innovationen, digitale Transformation, digitale Plattformen, Internet der Dinge und Industrie 4.0},
publisher = {Springer Fachmedien Wiesbaden},
year = {2019},
pages = {83--103},
url = {https://doi.org/10.1007/978-3-658-26314-0_5},
doi = {https://doi.org/10.1007/978-3-658-26314-0_5}
}
F. Kruse, V. Dmitriyev and J. Marx Gómez, Building a Connection Between Decision Maker and Data-Driven Decision Process,
Archives of Data Science, Series A (Online First),
2018
DOI
BibTeX
@article{FelixKruse18,
author = {Kruse, Felix and Dmitriyev, Viktor and Marx Gómez, Jorge},
title = {Building a Connection Between Decision Maker and Data-Driven Decision Process},
journal = {Archives of Data Science, Series A (Online First)},
year = {2018},
volume = {4},
number = {1},
pages = {1-16},
doi = {https://doi.org/10.5445/KSP/1000085951/03}
}
F. Kruse, V. Dmitriyev and J. Marx Gómez, Building a Connection Between Decision Maker and Data-Driven Decision Process,
ECDA 2017,
2017
URL
BibTeX
@inproceedings{Kruse:2017:ECDA,
author = {Kruse, Felix and Dmitriyev, Viktor and Marx Gómez, Jorge},
title = {Building a Connection Between Decision Maker and Data-Driven Decision Process},
booktitle = {ECDA 2017},
year = {2017},
volume = {4},
number = {1},
pages = {77--78},
url = {http://ecda2017.ue.wroc.pl/wp-content/uploads/2016/11/ECDA-Book-of-Abstracts.pdf#page=77}
}
J. Marx Gómez, V. Dmitriyev, F. Kruse, H. Precht, S. Becker and A. Solsbach, Building A Big Data Analytical Pipeline With Hadoop For Processing Enterprise XML Data,
MCIS 2017 Proceedings,
2017
BibTeX
@incollection{MarxGomez.2017,
author = {Marx Gómez, Jorge and Dmitriyev, Viktor and Kruse, Felix and Precht, Hauke and Becker, Simon and Solsbach, Andreas},
title = {Building A Big Data Analytical Pipeline With Hadoop For Processing Enterprise XML Data},
booktitle = {MCIS 2017 Proceedings},
year = {2017}
}
J. C. Marx Gómez, V. Dmitriyev, H. Precht and F. Kruse, Aufbau einer analytischen Pipeline mit Apache Hadoop und XML: Enterprise und Big Data,
BI-Spektrum : Fachzeitschrift für Business Intelligence und Data Warehousing,
2016
URL
BibTeX
@article{MarxGomez.2016,
author = {Marx Gómez, Jorge Carlos and Dmitriyev, Viktor and Precht, Hauke and Kruse, Felix},
title = {Aufbau einer analytischen Pipeline mit Apache Hadoop und XML: Enterprise und Big Data},
journal = {BI-Spektrum : Fachzeitschrift für Business Intelligence und Data Warehousing},
year = {2016},
url = {http://www.tdwi.eu/media/ots_2016_analytics/index.html}
}