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Machine learning as a tool for hypothesis generation

Ludwig, Jens; Mullainathan, Sendhil - In: The quarterly journal of economics 139 (2024) 2, pp. 751-827

Persistent link: https://www.econbiz.de/10014528137

Hall, Nicholas G.; Wan, Guohua; Zhao, Wenhui - In: Manufacturing & service operations management : M & SOM 26 (2024) 2, pp. 681-700

Persistent link: https://www.econbiz.de/10014533645

Multi-day tourism recommendations for urban tourists considering hotel selection : a heuristic optimization approach

Wu, Lunwen; Liao, Zhixue; Xiao, Di; Han, Peng; Chen, Qin - In: Omega : the international journal of management science 126 (2024), pp. 1-14

Persistent link: https://www.econbiz.de/10014534264

Das digitale Besteuerungsverfahren : Chancen, Herausforderungen und Grenzen des risikoorientierten Ansatzes

Schmidt, Christoph (ed.) - 2024

Die Notwendigkeit, das Besteuerungsverfahren an das digitale Zeitalter anzupassen, ist unausweichlich geworden. In einer Welt, die zunehmend von Technologie durchdrungen ist, steigern digitale Lösungen die Effizienz des Besteuerungsverfahrens und verbessern gleichzeitig die Compliance....

Persistent link: https://www.econbiz.de/10014577732

Buyer-optimal algorithmic consumption

Ichihashi, Shota; Smolin, Alex - 2023

Persistent link: https://www.econbiz.de/10014370525

Algorithmic pricing and liquidity in securities markets

Colliard, Jean-Edouard; Foucault, Thierry; Lovo, Stefano M. - 2022

Persistent link: https://www.econbiz.de/10013414291

A constrained swarm optimization algorithm for large-scale long-run investments using Sharpe ratio-based performance measures

Kaucic, Massimiliano; Piccotto, Filippo; Sbaiz, Gabriele - In: Computational management science 21 (2024) 1, pp. 1-29

Persistent link: https://www.econbiz.de/10014442612

The relative decision-making algorithm for ranking data

Chen, Yin-Ju; Lo, Jian-Ming - In: Data Technologies and Applications 55 (2020) 2, pp. 177-191

will be more effective than the absolute one. Therefore, based on rough set theory, this research proposes an algorithm of … related concepts and sends questionnaires to verify the efficiency of the algorithm. Findings By feeding the relative order of … algorithm proposed in this research is applied to the ranking data of food. This research proves that the algorithm is practical …

Persistent link: https://www.econbiz.de/10014712605

Hybrid data analytic technique for grading fairness

Banditwattanawong, Thepparit; Jankasem, Arnon Marco Polo; … - In: Data Technologies and Applications 57 (2022) 1, pp. 18-31

attain the fairest grading, this paper proposes a hybrid algorithm that integrates z score, K -means and heuristic methods … the algorithm's constituent methods could deliver the fairest grading results with fairness degrees ranging from 0.110 to … algorithm for fair norm-referenced grading, a fairness metric for norm-referenced grading and the fairness performance results …

Persistent link: https://www.econbiz.de/10014712612

Preisalgorithmenkartelle : das Zusammenwirken mittels Preisalgorithmen als Herausforderung des europäischen Kartellverbotes, Art. 101 Abs. 1 AEUV

Streitbörger, Chiara - 2024 - 1. Auflage

Mithilfe von Preisalgorithmen sind Unternehmen in der Lage, automatische und wechselseitige Preisanpassungen vorzunehmen. Dadurch können klassische Kartellkonstellationen mangels konspirativer Treffen in den Hintergrund treten. Die Arbeit zeigt auf, unter welchen Voraussetzungen der Einsatz von...

Persistent link: https://www.econbiz.de/10014443046