@misc{KochRiehleMueller2024, author = {Koch, Christian and Riehle, Dirk and M{\"u}ller, Katharina}, title = {Schema Inference for Tabular Data with Explainable Artificial Intelligence}, doi = {10.34646/thn/ohmdok-1560}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-15601}, pages = {2 -- 6}, year = {2024}, abstract = {Data engineering is an integral part of the data science process. It comprises tasks such as data ingestion, data transformation, and data quality assurance. In order to fulfill these tasks, schema inference is an important capability. Its goal is to detect the structure of a dataset and to derive metadata on hierarchies, data types, etc. Artificial intelligence (AI) has the potential to automate schema inference and thus increase the efficiency of the data science process. However, as government institutions are subject to special regulations, explainability of AI models can be a mandatory requirement. Goal of this research protocol is to plan a systematic review of literature on schema inference for tabular data with explainable AI (XAI). This third version was derived from two earlier review protocols.}, subject = {Explainable Artificial Intelligence}, language = {en} } @misc{KochRiehle2024, author = {Koch, Christian and Riehle, Dirk}, title = {Schema Inference with Explainable AI for Data Engineering in Government Institutions}, doi = {10.34646/thn/ohmdok-1505}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-15059}, pages = {2 -- 6}, year = {2024}, abstract = {Data engineering is an integral part of the data science process. It comprises tasks such as data ingestion, data transformation, and data quality assurance. In order to fulfill these tasks, schema inference is an important capability. Its goal is to detect the structure of a dataset and to derive metadata on hierarchies, data types, etc. Artificial intelligence (AI) has the potential to automate schema inference and thus increase the efficiency of the data science process. However, as government institutions are subject to special regulations, explainability of AI models can be a mandatory requirement. Goal of this research protocol is to plan a systematic review of literature on schema inference with explainable AI (XAI) for data engineering in government institutions. This second version includes adjustments resulting from the first iteration of the review.}, subject = {Explainable Artificial Intelligence}, language = {en} } @misc{KochRiehle2023, author = {Koch, Christian and Riehle, Dirk}, title = {Schema Inference with Explainable AI for Data Engineering in Government Institutions}, doi = {10.34646/thn/ohmdok-1160}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-11609}, pages = {2 -- 6}, year = {2023}, abstract = {Data engineering is an integral part of the data science process. It comprises tasks such as data ingestion, data transformation, and data quality assurance. In order to fulfill these tasks, schema inference is an important capability. Its goal is to detect the structure of a dataset and to derive metadata on hierarchies, data types, etc. Artificial intelligence (AI) has the potential to automate schema inference and thus increase the efficiency of the data science process. However, as government institutions are subject to special regulations, explainability of AI models can be a mandatory requirement. Goal of this research protocol is to plan a systematic review of literature on schema inference with explainable AI (XAI) for data engineering in government institutions.}, subject = {Explainable Artificial Intelligence}, language = {en} } @misc{KochKogelheideLorenz2023, author = {Koch, Christian and Kogelheide, Lucie and Lorenz, Raphael}, title = {Post-Quantum Cryptography with Python and Linux}, series = {Towards Data Science}, journal = {Towards Data Science}, publisher = {Medium}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-10814}, pages = {7 (ungez{\"a}hlt)}, year = {2023}, abstract = {If we believe Edward Snowden, encryption is "the only true protection against surveillance". However, advances in quantum technology might endanger this safeguard. Our article discusses why quantum computing poses a threat to data security and what to do about it. Instead of a purely theoretical analysis, we build on code examples using Python, C, and Linux.}, subject = {Computersicherheit}, language = {en} } @misc{KochStadiBerle2023, author = {Koch, Christian and Stadi, Markus and Berle, Lukas}, title = {From Data Engineering to Prompt Engineering}, series = {Towards Data Science}, journal = {Towards Data Science}, publisher = {Medium}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-10829}, pages = {9 (ungez{\"a}hlt)}, year = {2023}, abstract = {Data engineering makes up a large part of the data science process. In CRISP-DM this process stage is called "data preparation". It comprises tasks such as data ingestion, data transformation and data quality assurance. In our article we solve typical data engineering tasks using ChatGPT and Python. By doing so, we explore the link between data engineering and the new discipline of prompt engineering.}, subject = {K{\"u}nstliche Intelligenz}, language = {en} } @misc{Mueller, author = {Mueller, Walter}, title = {Bemerkungen zur Methode Variation der Konstanten - Teil 2}, doi = {10.34646/thn/ohmdok-1018}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-10181}, pages = {1 -- 13}, abstract = {Im vorliegenden Artikel wird eine lineare, inhomogene Differentialgleichungen 3-ter Ordnung (mit konstanten Koeffizienten) mit Hilfe integrierender Faktoren gel{\"o}st und, aus der dabei gewonnenen allgemeinen L{\"o}sung, die Methode Variation der Konstanten abgeleitet.}, language = {de} } @misc{Mueller, author = {Mueller, Walter}, title = {Bemerkungen zur Methode Variation der Konstanten - Teil 1}, doi = {10.34646/thn/ohmdok-1002}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-10029}, pages = {1 -- 3}, abstract = {Im vorliegenden Artikel wird eine lineare, inhomogene Differentialgleichung 1-ter Ordnung mit Hilfe eines integrierenden Faktors gel{\"o}st und, aus der dabei gewonnenen allgemeinen L{\"o}sung, die L{\"o}sungsmethode Variation der Konstanten abgeleitet.}, language = {de} } @misc{Genslein2020, author = {Genslein, Thomas}, title = {Konzeption und Realisierung einer Migrationsstrategie f{\"u}r die Prozessautomatisierungstechnik zum Wechsel auf Control Module Technologie}, year = {2020}, abstract = {Dieses Dokument beinhaltet den Abstract zur Masterarbeit von Thomas Genslein}, language = {de} } @misc{Stoll2020, author = {Stoll, Joachim}, title = {COVID 19 - Stop the Hurricane (15.11./18.10.2020)}, doi = {10.34646/thn/ohmdok-677}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-6778}, pages = {18}, year = {2020}, abstract = {Die Performance der Kontaktverfolgung, Isolation und Quarant{\"a}ne bleibt deutlich hinter den M{\"o}glichkeiten zur{\"u}ck und tr{\"a}gt zu wenig zur Reduktion der Reproduktionszahlen bei. In Kombination mit einer nachlassenden Mitwirkung der Bev{\"o}lkerung k{\"o}nnte bald ein Punkt erreicht sein, an dem wir nur noch auf die Impfung warten k{\"o}nnen. Wir m{\"u}ssen schnellstm{\"o}glich auf ein Niveau der Neuinfektionen zur{\"u}ckzukehren, auf dem die Gesundheits{\"a}mter einen Beitrag leisten k{\"o}nnen. Wir brauchen eine Stelle, die f{\"u}r durchg{\"a}ngig (!) pfeilschnelle (!) Abl{\"a}ufe im Gesamtprozess (Test-Zugang, schnellste Auswertung und Mitteilung von Testergebnissen, umgehende Isolierung, Kontaktverfolgung, Testung der Kontakte sowie wirksame Quarant{\"a}ne.) verantwortlich zeichnet. Dabei sollten Kompetenzen zu Management, Organisation, zeitlichen Abl{\"a}ufen, 24/7-Betrieb, Drive-In-Testing, detektivischer Arbeit, IT-Einsatz und mathematisch basierter Optimierung des Gesamtprozesses im Vordergrund stehen.}, subject = {Infektionskrankheit}, language = {de} } @misc{Stoll2020, author = {Stoll, Joachim}, title = {COVID 19 - Stop the Hurricane (15./19.04.2020)}, doi = {10.34646/thn/ohmdok-618}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:92-opus4-6181}, pages = {19}, year = {2020}, abstract = {Mittels eines modifizierten SEIR-Modells und der Basisreproduktionsrate wird die aktuelle Entwicklung zu COVID 19 simuliert und die weitere Entwicklung in Richtung Containment prognostiziert. Unterschiede zwischen verschiedenen europ{\"a}ischen Staaten und innerhalb Deutschlands werden aufgezeigt. Bez{\"u}glich der Fallsterblichkeitszahlen f{\"u}r Deutschland und ver{\"o}ffentlichen Simulationen zur Herdenimmunit{\"a}t werden gravierende mathematische M{\"a}ngel aufgedeckt. Wege in Richtung einer Exitstrategie werden aufgezeigt.}, subject = {Infektionskrankheit}, language = {de} }