System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data:
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Hauptverfasser: | , , , , , , , , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2021
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Schlagworte: | |
Online-Zugang: | Volltext Volltext Volltext |
Beschreibung: | 1 Online-Ressource |
Internformat
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author | Nguyen, An Foerstel, Stefan Kittler, Thomas Kurzyukov, Andrey Schwinn, Leo Zanca, Dario Hipp, Tobias Jun, Sun Da Schrapp, Michael Rothgang, Eva Eskofier, Bjoern |
author_facet | Nguyen, An Foerstel, Stefan Kittler, Thomas Kurzyukov, Andrey Schwinn, Leo Zanca, Dario Hipp, Tobias Jun, Sun Da Schrapp, Michael Rothgang, Eva Eskofier, Bjoern |
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spelling | Nguyen, An Verfasser aut System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Sun Da Jun, Michael Schrapp, Eva Rothgang, Bjoern Eskofier Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2021 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Customer service decision support system IoT data explainable AI machine learning big data industrial AI Foerstel, Stefan Verfasser aut Kittler, Thomas Verfasser aut Kurzyukov, Andrey Verfasser aut Schwinn, Leo Verfasser aut Zanca, Dario Verfasser aut Hipp, Tobias Verfasser aut Jun, Sun Da Verfasser aut Schrapp, Michael Verfasser aut Rothgang, Eva Verfasser aut Eskofier, Bjoern Verfasser aut Sonderdruck aus IEEE Access Vol. 9 (2021), Seite 117140 - 117152 10.1109/ACCESS.2021.3106791 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-194728 Resolving-System kostenfrei Volltext https://d-nb.info/1259051781/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext application/pdf https://open.fau.de/handle/openfau/19472 Verlag kostenfrei Volltext 1\p aepkn 0,92126 20220604 DE-101 https://d-nb.info/provenance/plan#aepkn 2\p aepsg 0,98525 20220604 DE-101 https://d-nb.info/provenance/plan#aepsg 3\p npi 20220603 DE-101 https://d-nb.info/provenance/plan#npi |
spellingShingle | Nguyen, An Foerstel, Stefan Kittler, Thomas Kurzyukov, Andrey Schwinn, Leo Zanca, Dario Hipp, Tobias Jun, Sun Da Schrapp, Michael Rothgang, Eva Eskofier, Bjoern System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data |
title | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data |
title_auth | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data |
title_exact_search | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data |
title_exact_search_txtP | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data |
title_full | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Sun Da Jun, Michael Schrapp, Eva Rothgang, Bjoern Eskofier |
title_fullStr | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Sun Da Jun, Michael Schrapp, Eva Rothgang, Bjoern Eskofier |
title_full_unstemmed | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Sun Da Jun, Michael Schrapp, Eva Rothgang, Bjoern Eskofier |
title_short | System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data |
title_sort | system design for a data driven and explainable customer sentiment monitor using iot and enterprise data |
url | https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-194728 https://d-nb.info/1259051781/34 https://open.fau.de/handle/openfau/19472 |
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