Search Results - subject:"Data Science"

The development of educational competences for Romanian students in the context of the evolution of data science and artificial intelligence

Grădinaru, Giani Ionel; Dinu, Vasile; Rotaru, … - In: Amfiteatru economic : an economic and business research … 26 (2024) 65, pp. 14-32

The study explores key academic competencies and professional skills in data science in the context of the development … of data science teams, as well as the impact that artificial intelligence has on the field. With their help, a … comprehensive understanding of the impact of academic training on career opportunities in the field of data science is provided …

Persistent link: https://www.econbiz.de/10014464941

Swel : a domain-specific language for modeling data-intensive workflows

Salado-Cid, Rubén; Vallecillo, Antonio; Munir, Kamram; … - In: Business & information systems engineering 66 (2024) 2, pp. 137-160

Persistent link: https://www.econbiz.de/10014531627

The impact of crises on maritime traffic : a case study of the COVID-19 pandemic and the war in Ukraine

Weçel, Krzysztof; Stróżyna, Milena; Szmydt, Marcin; … - In: Networks and spatial economics : a journal of … 24 (2024) 1, pp. 199-230

Persistent link: https://www.econbiz.de/10014515525

Estimating geographical retail markets from card spending data

Doshi, Samir; Hoolohan, Vicky; Lewis, Tabitha; … - 2024

Persistent link: https://www.econbiz.de/10015084607

Explainability in process outcome prediction : guidelines to obtain interpretable and faithful models

Stevens, Alexander; De Smedt, Johannes - In: European journal of operational research : EJOR 317 (2024) 2, pp. 317-329

Persistent link: https://www.econbiz.de/10014635794

Data-driven sustainable investment strategies : integrating ESG, financial data science, and time series analysis for alpha generation

Sorathiya, Afreen; Saval, Pradnya; Sorathiya, Manha - In: International Journal of Financial Studies : open … 12 (2024) 2, pp. 1-23

In today's investment landscape, the integration of environmental, social, and governance (ESG) factors with data-driven strategies is pivotal. This study delves into this fusion, employing sophisticated statistical techniques and Python programming to unveil insights often overlooked by...

Persistent link: https://www.econbiz.de/10014636319

Data science essentials in business administration : a multidisciplinary perspective

Afsharian, Mohsen - In: Decision analytics journal 11 (2024), pp. 1-9

This study presents an overview of data science, exploring the role of data scientists and the methods they employ to …

Persistent link: https://www.econbiz.de/10015107988

Empirical guidance : data processing and analysis with applications in Stata, R, and Python

Ouellet, Melissa; Toffel, Michael W. - 2024

Persistent link: https://www.econbiz.de/10015061778

Satellites turn "concrete" : tracking cement with satellite data and neural networks

D'Aspremont, Alexandre; Arous, Simon Ben; Bricongne, … - 2024

This paper exploits daily infrared images taken from satellites to track economic activity in advanced and emerging countries. We first develop a framework to read, clean, and exploit satellite images. Our algorithm uses the laws of physics (Planck's law) and machine learning to detect the heat...

Persistent link: https://www.econbiz.de/10014484491

Teaching marketing analytics: a pricing case study for quantitative and substantive marketing skills

Skiera, Bernd; Jürgensmeier, Lukas - In: Journal of Marketing Analytics 12 (2024) 2, pp. 209-226

This article describes a data-driven case study for teaching and assessing students’ skills in marketing analytics, specifically in pricing. This case study combines teaching econometrics to analyze data and substantive marketing to derive managerial insights. The econometric challenge...

Persistent link: https://www.econbiz.de/10015398705