Sandra Zilker

Lehrstuhl für Digital Industrial Service Systems

Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience (2022) Zilker S, Marx E, Stierle M, Matzner M Conference contribution, Conference Contribution Predictive business process deviation monitoring (2021) Weinzierl S, Dunzer S, Tenschert J, Zilker S, Matzner M Conference contribution, Original article Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques (2021) Stierle M, Brunk J, Weinzierl S, Zilker S, Matzner M, Becker J Conference contribution, Original article The Status Quo of Process Mining in the Industrial Sector (2021) Dunzer S, Zilker S, Marx E, Grundler V, Matzner M Conference contribution, Conference Contribution Prescriptive business process monitoring for recommending next best actions (2020) Weinzierl S, Dunzer S, Zilker S, Matzner M Conference contribution, Original article Job Seekers' Artificial Intelligence-related Black Box Concerns (2020) Ochmann J, Zilker S, Laumer S Conference contribution, Conference Contribution The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations (2020) Ochmann J, Michels L, Zilker S, Tiefenbeck V, Laumer S Conference contribution, Conference Contribution XNAP: Making LSTM-based next activity predictions explainable by using LRP (2020) Weinzierl S, Zilker S, Brunk J, Revoredo K, Matzner M, Becker J Conference contribution, Conference Contribution Design Principles for Comprehensible Process Discovery in Process Mining (2020) Stierle M, Zilker S, Dunzer S, Tenschert J, Karagegova G Conference contribution From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events (2020) Weinzierl S, Zilker S, Stierle M, Park G, Matzner M Conference contribution, Conference Contribution