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  • Search: subject:"predictive modelling"
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Year of publication
Subject
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Forecasting model 25 Prognoseverfahren 25 predictive modelling 22 Predictive modelling 15 Artificial intelligence 13 Künstliche Intelligenz 13 machine learning 7 Data mining 6 Theorie 6 Theory 6 Data Mining 5 Big Data 4 Big data 4 Credit risk 4 Knowledge management 4 Kreditrisiko 4 Management information system 4 Management-Informationssystem 4 Optimization 4 Wissensmanagement 4 data mining 4 Bank 3 Bank lending 3 Consumer behaviour 3 Erneuerbare Energie 3 Gesundheitsversorgung 3 Health care 3 Hospital 3 Konsumentenverhalten 3 Krankenhaus 3 Kreditgeschäft 3 Renewable energy 3 Risikomanagement 3 Risk management 3 artificial intelligence 3 Actuarial mathematics 2 Artificial Intelligence 2 Big data analytics 2 Case-mix 2 Creativity 2
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Online availability
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Undetermined 27 Free 11 CC license 3
Type of publication
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Article 34 Book / Working Paper 7
Type of publication (narrower categories)
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Article in journal 30 Aufsatz in Zeitschrift 30 Working Paper 3 Arbeitspapier 2 Aufsatzsammlung 2 Graue Literatur 2 Non-commercial literature 2 research-article 2 Article 1
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Language
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English 39 Undetermined 2
Author
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Al-Muharrami, Saeed 2 Bocoya-Maline, José 2 Calvo-Mora, Arturo 2 Dudda, Tom L. 2 Garcia Martinez, Marian 2 Gherghina, Ştefan Cristian 2 Govindaluri, Srikrishna Madhumohan 2 Hornuf, Lars 2 Koumétio Tékouabou, Stéphane Cédric 2 Martins, José Moleiro 2 Mata, Mário Nuno 2 Mata, Pedro Neves 2 Oztekin, Asil 2 Pardalos, Panos M. 2 Sharma, Sujeet Kumar 2 Tarhini, Ali 2 Toulni, Hamza 2 Zio, Enrico 2 Al-Hamar, Yuosuf Khalid 1 Albey, Erinc 1 Albizri, Abdullah 1 Anand, Abhinav 1 Andreeva, Galina 1 Ansell, Jake 1 BaLashwar, Khulood Mohammed 1 Basukoski, Artie 1 Bilge, Ümit 1 Bischak, Diane P. 1 Bravo, Jorge Miguel Ventura 1 Chandra Kant Singh 1 Chang, Wonsang 1 Chaussalet, Thierry 1 Chen, Ya 1 Chen, Yao 1 Cho, Sungzoon 1 Clemente, Carina 1 Cronin, Anthony 1 Deshmukh, Arun Kumar 1 Dinc, Semih 1 Duch-Brown, Néstor 1
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Institution
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European Association of Agricultural Economists - EAAE 1
Published in...
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International journal of production research 4 Risks : open access journal 2 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 1 African finance journal 1 Benchmarking : an international journal 1 CESifo Working Paper 1 CESifo working papers 1 European journal of operational research : EJOR 1 Future of Business and Finance 1 Health care management science : a new journal serving the international health care management community 1 IMA journal of management mathematics 1 INFOR : information systems and operational research 1 Industrial Management & Data Systems 1 International journal of applied management science : IJAMS 1 International journal of business process integration and management : IJBPIM 1 International journal of management and decision making : IJMDM 1 International journal of risk assessment and management : IJRAM 1 Journal of Risk and Financial Management 1 Journal of business analytics 1 Journal of digital banking 1 Journal of marketing analytics : JMA 1 Journal of risk and financial management : JRFM 1 Journal of the Operational Research Society : OR 1 Management decision 1 Managing global transitions : international research journal 1 Operations research for health care 1 Paradigm : the journal of Institute of Management Technology 1 Renewable Energy 1 Research policy : policy, management and economic studies of science, technology and innovation 1 Review of International Business and Strategy 1 Review of international business and strategy 1 Review of managerial science : RMS 1 TILEC Discussion Paper 1 Technovation : the international journal of technological innovation, entrepreneurship and technology management 1 The European journal of health economics : HEPAC ; health economics in prevention and care 1
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Source
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ECONIS (ZBW) 35 EconStor 2 RePEc 2 Other ZBW resources 2
Showing 1 - 10 of 41
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The Perks and Perils of Machine Learning in Business and Economic Research
Dudda, Tom L.; Hornuf, Lars - 2025
We examine predictive machine learning studies from 50 top business and economic journals published between 2010 and 2023. We investigate their transparency regarding the predictive performance of machine learning models compared to less complex traditional statistical models that require fewer...
Persistent link: https://www.econbiz.de/10015339497
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The perks and perils of machine learning in business and economic research
Dudda, Tom L.; Hornuf, Lars - 2025
We examine predictive machine learning studies from 50 top business and economic journals published between 2010 and 2023. We investigate their transparency regarding the predictive performance of machine learning models compared to less complex traditional statistical models that require fewer...
Persistent link: https://www.econbiz.de/10015326239
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The EFQM excellence model, the knowledge management process and the corresponding results : an explanatory and predictive study
Bocoya-Maline, José; Rey-Moreno, Manuel; Calvo-Mora, Arturo - In: Review of managerial science : RMS 18 (2024) 5, pp. 1281-1315
Persistent link: https://www.econbiz.de/10014552034
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Predictive and mediation model for decision-making in the context of dynamic capabilities and knowledge management
Bocoya-Maline, José; Calvo-Mora, Arturo; Moreno, Manuel Rey - In: Management decision 62 (2024) 7, pp. 2164-2188
Persistent link: https://www.econbiz.de/10015046202
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Modelling motor insurance claim frequency and severity using gradient boosting
Clemente, Carina; Guerreiro, Gracinda R.; Bravo, Jorge … - In: Risks : open access journal 11 (2023) 9, pp. 1-20
Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency-severity models assume a linear relationship between a function...
Persistent link: https://www.econbiz.de/10014375257
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Economies of Scope in Data Aggregation : Evidence from Health Data
Smichowski, Bruno Carballa; Duch-Brown, Néstor; Hocuk, … - 2023
Economies of scope in data aggregation (ESDA) are attracting the attention of policymakers and researchers because of the efficiency gains they could bring about. Antitrust authorities, in turn, are concerned about their potential anti-competitive outcomes. However, the concept remains blurry...
Persistent link: https://www.econbiz.de/10014254702
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A machine learning framework towards bank telemarketing prediction
Koumétio Tékouabou, Stéphane Cédric; Gherghina, … - In: Journal of Risk and Financial Management 15 (2022) 6, pp. 1-19
The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...
Persistent link: https://www.econbiz.de/10014332470
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Improving service use through prediction modelling : a case study of a mathematics support centre
Howard, Emma; Cronin, Anthony - In: IMA journal of management mathematics 33 (2022) 3, pp. 369-380
Persistent link: https://www.econbiz.de/10013253384
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A machine learning framework towards bank telemarketing prediction
Koumétio Tékouabou, Stéphane Cédric; Gherghina, … - In: Journal of risk and financial management : JRFM 15 (2022) 6, pp. 1-19
The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...
Persistent link: https://www.econbiz.de/10013273676
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A combined neural network approach for the prediction of admission rates related to respiratory diseases
Jose, Alex; Macdonald, Angus; Tzougas, George; … - In: Risks : open access journal 10 (2022) 11, pp. 1-35
In this paper, we investigated rates of admission to hospitals (or other health facilities) due to respiratory diseases in a United States working population and their dependence on a number of demographic and health insurance-related factors. We employed neural network (NN) modelling...
Persistent link: https://www.econbiz.de/10014228893
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