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  • Search: subject:"Data Science"
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Year of publication
Subject
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Data Science 246 Künstliche Intelligenz 187 Artificial intelligence 178 Big Data 144 Big data 139 Data science 139 data science 136 Logistics 108 Industry 4.0 102 Supply Chain Management 96 Innovation 83 Artificial Intelligence 75 Digitalization 64 Digitalisierung 63 Supply chain 61 Data Mining 60 Lieferkette 60 Logistik 57 Theory 57 Data mining 56 Theorie 56 Digitization 52 Sustainability 42 Informationsmanagement 39 City Logistics 38 Information management 38 Maritime Logistics 38 Machine Learning and Data Science 34 Forecasting model 32 Prognoseverfahren 32 Logistics provider 31 Logistikunternehmen 31 big data 28 Statistical method 24 Statistische Methode 24 Data Analytics 23 Machine learning 23 Data analytics 22 Industrie 4.0 21 Learning process 19
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Online availability
All
Free 262 Undetermined 254 CC license 74
Type of publication
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Article 338 Book / Working Paper 217 Journal 5 Other 1
Type of publication (narrower categories)
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Article in journal 229 Aufsatz in Zeitschrift 229 Working Paper 59 Aufsatz im Buch 58 Book section 58 Graue Literatur 56 Non-commercial literature 56 Conference paper 49 Konferenzbeitrag 49 Conference Paper 47 Arbeitspapier 43 Aufsatzsammlung 30 Article 26 research-article 10 Konferenzschrift 9 Hochschulschrift 8 Lehrbuch 7 Research Report 5 Handbook 4 Handbuch 4 Collection of articles of several authors 3 Sammelwerk 3 Proceedings 2 Textbook 2 Amtliche Publikation 1 Case study 1 Collection of articles written by one author 1 Einführung 1 Fallstudie 1 Fallstudiensammlung 1 Forschungsbericht 1 Sammlung 1 case-report 1 review 1
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Language
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English 492 German 56 Undetermined 7 Spanish 4 French 1 Dutch 1
Author
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Jahn, Carlos 20 Askitas, Nikos 12 Kersten, Wolfgang 12 Nathan, Max 7 Rosso, Anna 7 Charles, Vincent 6 Clausen, Uwe 6 Haasis, Hans-Dietrich 6 Klumpp, Matthias 6 Naudé, Wim 6 Zschech, Patrick 6 Chen, Yuxin 5 Cook, Dianne 5 Zhu, Joe 5 Grafelmann, Michaela 4 Lange, Ann-Kathrin 4 Levina, Anastasia 4 Li, Gen 4 Maydanova, Svetlana 4 Ringle, Christian M. 4 Schwientek, Anne Kathrina 4 Verbeet, Richard 4 Weigell, Jürgen 4 Zadek, Hartmut 4 Addo, Peter Martey 3 Beverungen, Daniel 3 Chi, Yuejie 3 Dörr, Sebastian 3 Gambacorta, Leonardo 3 Haake, Daniel 3 Hassani, Bertrand 3 Heesen, Bernd 3 Heinrich, Kai 3 Herden, Tino T. 3 Janssen, Marijn 3 Kallus, Nathan 3 Kamihigashi, Takashi 3 Langs, Georg 3 Lehrer, Christiane 3 Lübke, Karsten 3
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Institution
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Arbeitsmarktservice Österreich (AMS) 4 Internationale Tagung Wirtschaftsinformatik <18., 2023, Paderborn> 3 National Bureau of Economic Research 3 Hamburg International Conference of Logistics <2020, Hamburg; Internet> 2 TCW-Transfer-Centrum für Produktionslogistik und Technologie-Management <München> 2 Technische Universität Hamburg / Institut für Logistik und Unternehmensführung 2 Technische Universität Hamburg / Institute of Human Resource Management and Organizations 2 Carl Hanser Verlag 1 Edward Elgar Publishing 1 Erich Schmidt Verlag 1 Europäische Kommission / Gemeinsame Forschungsstelle 1 Friedrich-Alexander-Universität Erlangen-Nürnberg 1 Hanser Publications 1 Haufe-Lexware GmbH & Co. KG 1 International Conference on Business Excellence <15., 2021, Bukarest> 1 Münchner Management Kolloquium <29., 2022, München> 1 Springer Fachmedien Wiesbaden 1 Springer Vieweg 1 Technische Universität Hamburg / Institut für Maritime Logistik 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
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Published in...
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Operations research 35 Data science and innovation in supply chain management : how data transforms the value chain 28 Data science in maritime and city logistics : data-driven solutions for logistics and sustainability 18 European journal of operational research : EJOR 16 Springer eBook Collection 14 Discussion paper series / IZA 7 HMD : Praxis der Wirtschaftsinformatik 7 IZA Discussion Papers 7 Technological forecasting & social change : an international journal 7 Jahrbücher für Nationalökonomie und Statistik 6 International journal of production research 5 Working paper / Department of Econometrics and Business Statistics, Monash University 5 AMS info 4 AMS-Info 4 Business & information systems engineering 4 Lecture Notes in Information Systems and Organisation 4 Proceedings of the Hamburg International Conference of Logistics (HICL) 4 Annals of operations research 3 Data Technologies and Applications 3 Discussion paper series / Research Institute for Economics and Business Administration, Kobe University 3 European research studies 3 HMD Praxis der Wirtschaftsinformatik 3 IEEE transactions on engineering management : EM 3 International Series in Operations Research & Management Science 3 International journal of business intelligence research : IJBIR ; an official publication of the Information Resources Management Association 3 Journal of Asia Business Studies 3 Journal of Risk and Financial Management 3 Journal of business analytics 3 Journal of business logistics : JBL 3 Journal of risk and financial management : JRFM 3 Journal of the Operational Research Society 3 NBER working paper series 3 Working papers / Harvard Business School, Division of Research 3 ZRFC : risk, fraud & compliance ; Prävention und Aufdeckung in der Compliance-Organisation 3 AStA Wirtschafts- und Sozialstatistisches Archiv 2 Advances in marketing, customer relationship management, and e-services (AMCRMES) book series 2 Benchmarking : an international journal 2 Benchmarking: An International Journal 2 Business & Information Systems Engineering 2 Chapman & Hall/CRC financial mathematics series 2
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Source
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ECONIS (ZBW) 432 EconStor 101 Other ZBW resources 23 RePEc 4 BASE 1
Showing 91 - 100 of 561
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Causality in statistics and data science education
Cummiskey, Kevin; Lübke, Karsten - In: AStA Wirtschafts- und Sozialstatistisches Archiv 16 (2022) 3, pp. 277-286
causality (for example, Simpson's paradox). Therefore, developing causal thinking in undergraduate statistics and data science … statistics and data science programs. Students should be able to think causally, which is defined as a broad pattern of thinking …
Persistent link: https://www.econbiz.de/10015165520
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Interaction Based Model for Identifying Asymptomatic Carriers of an Infectious Disease$vYaniv Ravid, Abraham Seidmann
Ravid, Yaniv; Seidmann, Abraham - 2022
Epidemiological models are commonly used to predict and describe the spread of a viral outbreak among a population. Many such models use differential equations and transition rates to predict the growth dynamics of the infectious and exposed groups with a greater population. These methods do not...
Persistent link: https://www.econbiz.de/10014085710
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Big data in Asian central banks
Cornelli, Giulio; Dörr, Sebastian; Gambacorta, Leonardo; … - 2022
This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...
Persistent link: https://www.econbiz.de/10013041196
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Causality in statistics and data science education
Cummiskey, Kevin; Lübke, Karsten - In: Wirtschafts- und sozialstatistisches Archiv : eine … 16 (2022) 3/4, pp. 277-286
Persistent link: https://www.econbiz.de/10013489724
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Data-powered positive deviance : combining traditional and non-traditional data to identify and characterise development-related outperformers
Albanna, Basma; Heeks, Richard; Pawelke, Andreas; Boy, … - In: Development engineering 7 (2022), pp. 1-16
The positive deviance approach in international development scales practices and strategies of positively-deviant individuals and groups: those who are able to achieve significantly better development outcomes than their peers despite having similar resources and challenges. This approach relies...
Persistent link: https://www.econbiz.de/10012815624
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Nonconvex low-rank tensor completion from noisy data
Cai, Changxiao; Li, Gen; Poor, H. Vincent; Chen, Yuxin - In: Operations research 70 (2022) 2, pp. 1219-1237
Persistent link: https://www.econbiz.de/10013365875
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Fast global convergence of natural policy gradient methods with entropy regularization
Cen, Shicong; Cheng, Chen; Chen, Yuxin; Wei, Yuting; … - In: Operations research 70 (2022) 4, pp. 2563-2578
Persistent link: https://www.econbiz.de/10013366515
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Computational clustering applied to mental models for understanding the Valley of Death in innovation processes
Giraldo-Builes, Jim; Yepes, René; Rojas, Iván; … - In: Journal of open innovation : technology, market, and … 8 (2022) 3, pp. 1-17
The Valley of Death is the gap between the completion of research and development (R&D) projects and their transition to innovation. A key aspect to explain it are mindsets, which are one of the most complex to explain due to the number of factors they contain. What remains unclear is how people...
Persistent link: https://www.econbiz.de/10013369232
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Marketing strategies in the banking services sector with the help of data science
Zatonatska, Tetiana; Hubska, Maryna; Shpyrko, Viktor - In: Marketing i menedžment innovacij : m&mi (2022) 2, pp. 121-127
Persistent link: https://www.econbiz.de/10013277516
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Statistik zwischen Data Science, Artificial Intelligence und Big Data : Beiträge aus dem Kolloquium „Make Statistics great again“
Rendtel, Ulrich; Seidel, Willi; Müller, Christine H.; … - In: Wirtschafts- und sozialstatistisches Archiv : eine … 16 (2022) 2, pp. 97-147
Persistent link: https://www.econbiz.de/10013402019
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