The Challenges of Big Data - Contributions in the Field of Data Quality and Artificial Intelligence Applications - University of Regensburg Publication Server

URN to cite this document:: urn:nbn:de:bvb:355-epub-527096
DOI to cite this document:: 10.5283/epub.52709

Szubartowicz, Michael

License: Publishing license for publications excluding print on demand
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Date of publication of this fulltext: 07 Sep 2022 11:40

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Item type:	Thesis of the University of Regensburg (PhD)
Open Access Type:	Primary Publication
Date:	7 September 2022
Referee:	Prof. Dr. Bernd Heinrich and Prof. Dr. Mathias Klier
Date of exam:	13 June 2022
Institutions:	Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich) Informatics and Data Science > Department Information Systems > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich)
Keywords:	data quality, recommender systems, business process management, natural language processing
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science 300 Social sciences > 330 Economics 600 Technology > 650 Management & auxiliary services
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Yes
Item ID:	52709

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Abstract (English)

The term "big data" has been characterized by challenges regarding data volume, velocity, variety and veracity. Solving these challenges requires research effort that fits the needs of big data. Therefore, this cumulative dissertation contains five paper aiming at developing and applying AI approaches within the field of big data as well as managing data quality in big data.

Translation of the abstract (German)

Der Begriff "big data" wird durch Herausforderungen im Bezug auf die Menge, Geschwindigkeit, Vielfältigkeit sowie Richtigkeit von Daten charakterisiert. Um diese Herausforderungen zu lösen werden Forschungsaufwände benötigt, welche den Bedürfnissen von big data genügen. Daher enthält diese kumulative Dissertation fünf Forschungsarbeiten, welche zum Ziel haben, KI-Ansätze im Bereich big data zu entwickeln und anzuwenden, sowie die Datenqualität im Bereich big data zu verwalten.

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The Challenges of Big Data - Contributions in the Field of Data Quality and Artificial Intelligence Applications