2022 |
Monday, January 3rd |
12:00 AM
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A2Log: Attentive Augmented Log Anomaly Detection
Thorsten Wittkopp, Technische Universität Berlin
Alexander Acker, Technische Universität Berlin
Sasho Nedelkoski, Technische Universität Berlin
Jasmin Bogatinovski, Technische Universität Berlin
Dominik Scheinert, Technische Universität Berlin
Wu Fan, Huawei
Odej Kao, Technische Universität Berlin
Online
12:00 AM - 12:00 AM
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12:00 AM |
Analyzing the Impact of Complaints on Customer Satisfaction in the Travel Industry
Youssef Drissi, IBM Research
Markus Ettl, IBM Research
Annalisa Gentile, IBM Research
Scott Mcfaddin, IBM Research
Petar Ristoski, IBM Research
Wei Sun, IBM Research
Online
12:00 AM - 12:00 AM
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12:00 AM |
Comparative Analysis of Classical and Deep Learning-based Natural Language Processing for Prioritizing Customer Complaints
Jan Blümel, University of Cambridge
Mohamed Zaki, University of Cambridge
Online
12:00 AM - 12:00 AM
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12:00 AM |
Fake or Credible? Towards Designing Services to Support Users’ Credibility Assessment of News Content
Enrico Bunde, Freie Universität
Niklas Kühl, Karlsruhe Institute of Technology
Christian Meske, Freie Universität Berlin
Online
12:00 AM - 12:00 AM
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12:00 AM |
Improving Support Ticket Systems Using Machine Learning: A Literature Review
Simon Fuchs, Technische Universität München
Clemens Drieschner, Technische Universität München
Holger Wittges, Technische Universität München
Online
12:00 AM - 12:00 AM
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12:00 AM |
Introduction to the Minitrack on Service Analytics
Hansjoerg Fromm, Karlsruhe Institute of Technology
Gerhard Satzger, Karlsruhe Institute of Technology
Niklas Kühl, Karlsruhe Institute of Technology
Thomas Setzer, Catholic University of Eichstätt-Ingolstadt
Online
12:00 AM - 12:00 AM
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12:00 AM |
Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience
Sandra Zilker, Friedrich-Alexander-University Erlangen-Nuremberg
Emanuel Marx, FAU Erlangen-Nürnberg
Matthias Stierle, FAU Erlangen-Nürnberg
Martin Matzner, Friedrich-Alexander-Universität Erlangen-Nürnberg
Online
12:00 AM - 12:00 AM
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