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  • Search: subject:"Data-driven analytics"
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Year of publication
Subject
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Data-driven analytics 4 Cargo loss 2 Decision tree 2 Logistics risk management 2 Logistics system 2 data-driven analytics 2 (distributionally) robust optimization 1 AHP approach 1 AHP-Verfahren 1 Alternative ranking 1 Artificial intelligence 1 Bibliometric analysis 1 Bibliometrics 1 Bibliometrie 1 Business process management 1 Classification 1 Complex neutrosophic set 1 Data Mining 1 Data mining 1 Decision 1 Dienstleistungsmanagement 1 Emotion 1 Entscheidung 1 Entscheidungsbaum 1 Fuzzy logic modelling 1 Fuzzy sets 1 Fuzzy-Set-Theorie 1 Gastronomie 1 Klassifikation 1 Künstliche Intelligenz 1 Logistics 1 Logistics provider 1 Logistik 1 Logistikunternehmen 1 Machine learning 1 Mathematical programming 1 Mathematische Optimierung 1 Prozessmanagement 1 Ranking method 1 Ranking-Verfahren 1
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Online availability
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Undetermined 4 CC license 2 Free 2
Type of publication
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Article 6
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 research-article 1
Language
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English 6
Author
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Chen, Mu-Chen 2 Tsau, Chih-Kai 2 Wu, Pei-Ju 2 Al-Quraishi, Tahsien 1 AlSattar, H. A. 1 Alamoodi, A. H. 1 Albahri, A. S. 1 Albahri, O. S. 1 Chen, Zhi 1 Fresneda, Jorge 1 Garfan, Salem 1 Hill, Chelsey 1 Irshaidat, Fatima 1 Johnson, Marina Evrim 1 Netessine, Serguei 1 Sharaf, Iman Mohamad 1 Tan, Tom Fangyun 1 Xiong, Peng 1 Zaidan, A. A. 1
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Published in...
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INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 International Journal of Physical Distribution & Logistics Management 1 International journal of physical distribution & logistics management : IJPD & LM 1 Management science : journal of the Institute for Operations Research and the Management Sciences 1
Source
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ECONIS (ZBW) 5 Other ZBW resources 1
Showing 1 - 6 of 6
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An analytical framework for tourism application selection using neutrosophic decision techniques
Alamoodi, A. H.; Albahri, O. S.; Garfan, Salem; … - 2025
In multicriteria decision-making (MCDM), selecting the best option among a set of alternatives by a committee of decision-makers based on given criteria is crucial. Usually, this task is accomplished by using linguistic terms. Researchers apply fuzzy sets in conjunction with a multi-criteria...
Persistent link: https://www.econbiz.de/10015586605
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An analytical assessment of sentiment analysis trends and methods through systematic review and topic modeling
Hill, Chelsey; Irshaidat, Fatima; Johnson, Marina Evrim; … - 2025
Sentiment Analysis (SA) applies Artificial Intelligence (AI) and Machine Learning (ML) techniques to identify and interpret opinions, emotions, and sentiment polarity in text data. This study presents a systematic literature review of SA research published between 2012 and 2024 using a dataset...
Persistent link: https://www.econbiz.de/10015586689
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RSOME in Python : an open-source package for robust stochastic optimization made easy
Chen, Zhi; Xiong, Peng - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 4, pp. 717-724
Persistent link: https://www.econbiz.de/10014328059
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When you work with a superman, will you also fly? : an empirical study of the impact of coworkers on performance
Tan, Tom Fangyun; Netessine, Serguei - In: Management science : journal of the Institute for … 65 (2019) 8, pp. 3495-3517
Persistent link: https://www.econbiz.de/10012062645
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The data-driven analytics for investigating cargo loss in logisitics systems
Wu, Pei-Ju; Chen, Mu-Chen; Tsau, Chih-Kai - In: International journal of physical distribution & … 47 (2017) 1, pp. 68-83
Persistent link: https://www.econbiz.de/10011690934
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The data-driven analytics for investigating cargo loss in logistics systems
Wu, Pei-Ju; Chen, Mu-Chen; Tsau, Chih-Kai - In: International Journal of Physical Distribution & … 47 (2017) 1, pp. 68-83
Purpose Cargo loss has been a major issue in logistics management. However, few studies have tackled the issue of cargo loss severity via business analytics. Hence, the purpose of this paper is to provide guidance about how to retrieve valuable information from logistics data and to develop...
Persistent link: https://www.econbiz.de/10014794456
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