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Holger Ziekow (1981-)

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Name	Holger Ziekow
Zeit	1981- (Lebensdaten)
Ort	Berlin (Geburtsort) Furtwangen im Schwarzwald (Wirkungsort) Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Prof. Dr. rer. pol.
Beruf	Informatiker (charakteristischer Beruf)
Beziehung	Humboldt-Universität zu Berlin (-2011) Hochschule Furtwangen Hochschule Furtwangen. Institut für Data Science, Cloud Computing und IT-Sicherheit (IDACUS)
Weitere Angaben	Dissertation Humboldt Universität Berlin 2008 Seit 2015 Professor an der Hochschule Furtwangen, Fakultät Wirtschaftsinformatik, Campus Furtwangen; Prodekan Lehre; Studiendekan Business Consulting (M.Sc)
Quelle	Homepage (Stand: 20.04.2022: https://www.hs-furtwangen.de/personen/profil/1119-holgerziekow/)
Datensatztyp	Person
GND-Nummer	138450153
Datensatz-ID	138450153
Beteiligt an alle anzeigen Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric Technical report: Identification of factors guiding treatment decision in oncology by rapid data insights using AI and xAI - a pilot study on real-world data Artificial Intelligence : from research to application : the Upper-Rhine Artificial Intelligence Symposium UR-AI 2019 : Offenburg, March 13th, 2019 = L'intelligence artificielle = Künstliche Intelligenz Technical Report: Interpretable Machine Learning for Quality Engineering in Manufacturing - Importance measures that reveal insights on errors Poster Abstract: Real-time load prediction with high velocity smart home data stream Dealing with Data Quality in Smart Home Environments — Lessons Learned from a Smart Grid Pilot Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot RFID integration into enterprise software environments : a technical and economical analysis with use cases from manufacturing

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Katalog der Deutschen Nationalbibliothek

Holger Ziekow (1981-)

Comparison of algorithms for error prediction in manufacturing with automl and a cost-based metric

Technical report: Identification of factors guiding treatment decision in oncology by rapid data insights using AI and xAI - a pilot study on real-world data

Artificial Intelligence : from research to application : the Upper-Rhine Artificial Intelligence Symposium UR-AI 2019 : Offenburg, March 13th, 2019 = L'intelligence artificielle = Künstliche Intelligenz

Technical Report: Interpretable Machine Learning for Quality Engineering in Manufacturing - Importance measures that reveal insights on errors

Poster Abstract: Real-time load prediction with high velocity smart home data stream

Dealing with Data Quality in Smart Home Environments — Lessons Learned from a Smart Grid Pilot

Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot

RFID integration into enterprise software environments : a technical and economical analysis with use cases from manufacturing