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• "Der Lehrstuhl Data Engineering an der Universität Regensburg", Klettke, Auge, Hausler, Landes, Melzer, Möller, Plazotta, 2025

  Publikation

  Die Data Engineering Gruppe an der Universität Regensburg wird seit April 2022 von Prof. Meike Klettke geleitet. Sie und ihr Team bestehend aus Dr....

  Publikation auf epub.uni-regensburg.de: "Der Lehrstuhl Data Engineering an der Universität Regensburg" (externer Link, öffnet neues Fenster)

• "Impact of Preprocessing on Classification Results of Eye-Tracking-Data", Landes, Klettke, Köppl, 2025

  Publikation

  Eye-tracking data provides valuable insights into human behavior, but its noisy and unstable nature necessitates robust preprocessing for accurate...

  Publikation auf epub.uni-regensburg.de: "Impact of Preprocessing on Classification Results of Eye-Tracking-Data" (externer Link, öffnet neues Fenster)

• "Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets", Konadl, Wörner, Leist, 2021

  Publikation

  Context factors have lasting impacts on people’s sentiments. Exploring impacts that different contexts have on sentiments can be crucial for managing...

  Publikation auf epub.uni-regensburg.de: "Identifying Sentiment Influences Provoked by Context Factors – Results from a Data Analytics Procedure Performed on Tweets" (externer Link, öffnet neues Fenster)

• "COMPARISON OF TOPIC MODELLING TECHNIQUES IN MARKETING - RESULTS FROM AN ANALYSIS OF DISTINCTIVE USE CASES", Wörner, Konadl, Schmid, Leist, 2021

  Publikation

  Currently, topic modelling is an effective analytical tool for the automated investigation of text data. However, identifying the underlying topics is...

  Publikation auf epub.uni-regensburg.de: "COMPARISON OF TOPIC MODELLING TECHNIQUES IN MARKETING - RESULTS FROM AN ANALYSIS OF DISTINCTIVE USE CASES" (externer Link, öffnet neues Fenster)

• "Supporting Product Development by a Trend Analysis Tool applying Aspect-Based Sentiment Detection", Wörner, Konadl, Schmid, Leist, 2022

  Publikation

  Publikation auf epub.uni-regensburg.de: "Supporting Product Development by a Trend Analysis Tool applying Aspect-Based Sentiment Detection" (externer Link, öffnet neues Fenster)

• "Automated identification of different lead users regarding the innovation process", Schmid, Wörner, Leist, 2022

  Publikation

  Lead users are often established in an organizational innovation process to attenuate the difficulties a company faces, such as high costs or the...

  Publikation auf epub.uni-regensburg.de: "Automated identification of different lead users regarding the innovation process" (externer Link, öffnet neues Fenster)

• "ARTIFICIAL INTELLIGENCE IN AUGMENTATIVE AND ALTERNATIVE COMMUNICATION SYSTEMS – A LITERATURE-BASED ASSESSMENT AND IMPLICATIONS OF DIFFERENT CONVERSATION PHASES AND CONTEXTS", Konadl, Wörner, Luttner, Leist, 2023

  Publikation

  Even though AAC systems and corresponding AI approaches have been investigated within the extant research, they still show remarkable drawbacks,...

  Publikation auf epub.uni-regensburg.de: "ARTIFICIAL INTELLIGENCE IN AUGMENTATIVE AND ALTERNATIVE COMMUNICATION SYSTEMS – A LITERATURE-BASED ASSESSMENT AND IMPLICATIONS OF DIFFERENT CONVERSATION PHASES AND CONTEXTS" (externer Link, öffnet neues Fenster)

• "MANTRA: A Topic Modeling-Based Tool to Support Automated Trend Analysis on Unstructured Social Media Data", Wörner, Konadl, Leist, Schmid, 2023

  Publikation

  The early identification of new and auspicious ideas leads to competitive advantages for companies. Thereby, topic modeling can serve as an effective...

  Publikation auf epub.uni-regensburg.de: "MANTRA: A Topic Modeling-Based Tool to Support Automated Trend Analysis on Unstructured Social Media Data" (externer Link, öffnet neues Fenster)

• "Automatisierte Erschließung der Erkenntnispotentiale digitaler Daten - Konzeption und Entwicklung intelligenter Analysemethoden und Werkzeuge zur Operationalisierung nutzergenerierter Daten mittels Data Science und generativer Künstlicher Intelligenz", Wörner, 2026

  Publikation

  Die vorliegende kumulative Dissertation untersucht zwei komplementäre Forschungsfelder zur datengetriebenen Analyse und Nutzung digitaler...

  Publikation auf epub.uni-regensburg.de: "Automatisierte Erschließung der Erkenntnispotentiale digitaler Daten - Konzeption und Entwicklung intelligenter Analysemethoden und Werkzeuge zur Operationalisierung nutzergenerierter Daten mittels Data Science und generativer Künstlicher Intelligenz" (externer Link, öffnet neues Fenster)

• "Relationales Datenbankdesign aufgrund von Benutzersichtstrukturen", Pernul, 1988

  Publikation

  Publikation auf epub.uni-regensburg.de: "Relationales Datenbankdesign aufgrund von Benutzersichtstrukturen" (externer Link, öffnet neues Fenster)