Search Results - subject:"Learning algorithms"

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Firm-level climate change risk and adoption of ESG practices: a machine learning prediction

Khan, Mushtaq Hussain; Alabdeen, Zaid Zein; Anupam, Angesh - In: Business Process Management Journal 30 (2024) 6, pp. 1741-1763

Purpose By combining the notion of prospect theory with advanced machine learning algorithms, this study aims to … investigation, we compared the prediction accuracy of various machine learning algorithms. Findings Our findings suggest that out of … 12 machine learning algorithms, AdaBoost, Gradient Boosting and XGBoost have the most precision in predicting whether FIs …

Persistent link: https://www.econbiz.de/10015341705

Benchmarking energy quantification methods to predict heating energy performance of residential buildings in Germany

Wenninger, Simon; Wiethe, Christian - In: Business & information systems engineering 63 (2021) 3, pp. 223-242

Persistent link: https://www.econbiz.de/10012542828

Recent innovation in benchmark rates (BMR) : evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms

Depren, Özer; Kartal, Mustafa Tevfik; Depren, Serpil … - In: Financial innovation : FIN 7 (2021), pp. 1-20

December 28, 2018, and December 31, 2020, by performing machine learning algorithms and Ordinary Least Square. The empirical …

Persistent link: https://www.econbiz.de/10012594490

Artificial intelligence in retail: Benefits and risks associated with mobile shopping applications

Victoria, Stanciu; Rindasu, Sinziana-Maria - In: Amfiteatru Economic Journal 23 (2021) 56, pp. 46-64

The objective of the study is to examine the practical implications of using artificial intelligence (AI) based solutions in the case of retail mobile applications, to enhance the online shopping experience and improve the engagement by also having in mind the privacy of the users. We examined...

Persistent link: https://www.econbiz.de/10014462069

Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germany

Wenninger, Simon; Wiethe, Christian - In: Business & Information Systems Engineering 63 (2021) 3, pp. 223-242

To achieve ambitious climate goals, it is necessary to increase the rate of purposeful retrofit measures in the building sector. As a result, Energy Performance Certificates have been designed as important evaluation and rating criterion to increase the retrofit rate in the EU and Germany. Yet,...

Persistent link: https://www.econbiz.de/10014501879

Recent innovation in benchmark rates (BMR): Evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms

Depren, Özer; Kartal, Mustafa Tevfik; Depren, Serpil … - In: Financial Innovation 7 (2021) 1, pp. 1-20

December 28, 2018, and December 31, 2020, by performing machine learning algorithms and Ordinary Least Square. The empirical …

Persistent link: https://www.econbiz.de/10012602925

Artificial intelligence in retail : benefits and risks associated with mobile shopping applications

Victoria, Stanciu; Rindasu, Sinziana-Maria - In: Amfiteatru economic : an economic and business research … 23 (2021) 56, pp. 46-64

Persistent link: https://www.econbiz.de/10012821081

Parametric and non-parametric methods in mass appraisal on poorly developed real estate markets

Gnat, Sebastian; Doszyń, Mariusz - 2020

Persistent link: https://www.econbiz.de/10012511319

Verleihung des Gerhard-Fürst-Preises 2020

Krämer, Walter - In: Wirtschaft und Statistik : WISTA (2020) 6, pp. 19-22

Mit dem Gerhard-Fürst-Preis des Statistischen Bundesamtes werden Arbeiten in den Kategorien Dissertationen und Master- beziehungsweise Bachelorarbeiten ausgezeichnet, die theoretische Themen mit einem engen Bezug zum Aufgabenspektrum der amtlichen Statistik behandeln oder empirische...

Persistent link: https://www.econbiz.de/10012388642

Evaluating Fintech industry's risks : a preliminary analysis based on CRISP-DM framework

Cheng, Aijun - In: Finance research letters 55 (2023) 2, pp. 1-8

Persistent link: https://www.econbiz.de/10014473470