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The Challenges of Big Data - Contributions in the Field of Data Quality and Artificial Intelligence Applications
Szubartowicz, Michael (2022) The Challenges of Big Data - Contributions in the Field of Data Quality and Artificial Intelligence Applications. PhD, Universität Regensburg.Date of publication of this fulltext: 07 Sep 2022 11:40
Thesis of the University of Regensburg
DOI to cite this document: 10.5283/epub.52709
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.
Involved Institutions
Details
| Item type | Thesis of the University of Regensburg (PhD) |
| 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 |
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-527096 |
| Item ID | 52709 |
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