Search Results - subject:"algorithms"

Büchner, Stefanie; Dosdall, Henrik - In: KZfSS Kölner Zeitschrift für Soziologie und … 73 (2021) Suppl 1, pp. 333-357

Der vorliegende Beitrag analysiert, wie Organisationen Algorithmen, die wir als digitale Beobachtungsformate verstehen, mit Handlungsfähigkeit ausstatten und damit actionable machen. Das zentrale Argument lautet, dass die soziale Relevanz digitaler Beobachtungsformate sich daraus ergibt, dass...

Persistent link: https://www.econbiz.de/10014501385

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

Global convergence of model function based Bregman proximal minimization algorithms

Mukkamala, Mahesh Chandra; Fadili, Jalal; Ochs, Peter - In: Journal of Global Optimization 83 (2021) 4, pp. 753-781

designing various optimization algorithms. However, many functions arising in practical applications such as low rank matrix …

Persistent link: https://www.econbiz.de/10014502010

Data justice

Dencik, Lina; Sanchez-Monedero, Javier - In: Internet Policy Review 11 (2021) 1, pp. 1-16

Data justice has emerged as a key framework for engaging with the intersection of datafication and society in a way that privileges an explicit concern with social justice. Engaging with justice concerns in the analysis of information and communication systems is not in itself new, but the...

Persistent link: https://www.econbiz.de/10012819809

Artificial intelligence applied to investment in variable income through the MACD (moving average convergence/divergence) indicator

Agudelo Aguirre, Alberto Antonio; Duque Méndez, … - In: Journal of Economics, Finance and Administrative Science 26 (2021) 52, pp. 268-281

Purpose - This study aims to determine whether, by means of the application of genetic algorithms (GA) through the …

Persistent link: https://www.econbiz.de/10013192206

A review of the applications of genetic algorithms to forecasting prices of commodities

Drachal, Krzysztof; Pawłowski, Michał - In: Economies 9 (2021) 1, pp. 1-22

This paper is focused on the concise review of the specific applications of genetic algorithms in forecasting commodity … prices. Genetic algorithms seem relevant in this field for many reasons. For instance, they lack the necessity to assume a … been observed recently. In parallel, researchers are also interested in constructing hybrid genetic algorithms (i …

Persistent link: https://www.econbiz.de/10013199745

Estimating the BIS capital adequacy ratio for Korean banks using machine learning: Predicting by variable selection using random forest algorithms

Park, Jaewon; Shin, Minsoo; Heo, Wookjae - In: Risks 9 (2021) 2, pp. 1-19

, Random Forest Boruta algorithms, Random Forest Recursive Feature Elimination, and Bayesian Regularization Neural Networks …

Persistent link: https://www.econbiz.de/10013200701

Ethische Aspekte: Regeln und Leitplanken zur Digitalisierung

Damm, Gerd-Rainer - In: Digitalisierung in ländlichen und verdichteten Räumen, (pp. 40-52). 2021

and the utilisation and provision of public and private services. These changes, the digital instruments, algorithms and …

Persistent link: https://www.econbiz.de/10012585998

Recommender systems and the amplification of extremist content

Whittaker, Joe; Looney, Seán; Reed, Alastair; Votta, Fabio - In: Internet Policy Review 10 (2021) 2, pp. 1-29

Policymakers have recently expressed concerns over the role of recommendation algorithms and their role in forming … "filter bubbles". This is a particularly prescient concern in the context of extremist content online; these algorithms may …

Persistent link: https://www.econbiz.de/10012594715

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