Similar Search Results

Pre- and within-season attendance forecasting in Major League Baseball : a random forest approach

Mueller, Steffen Q. - 2018 - Version: June 2018

This study explores the forecasting of Major League Baseball game ticket sales and identifies important attendance … lagged attendance forecast. My empirical results show high variation in team-specific prediction accuracy with respect to …

Persistent link: https://www.econbiz.de/10011866133

Are box office revenues equally unpredictable for all movies? : evidence from a random forest-based model

Antipov, Evengy A.; Pokryshevskaya, Elena B. - In: Journal of revenue and pricing management 16 (2017) 3, pp. 295-307

Persistent link: https://www.econbiz.de/10011912835

Forecasting own brand sales : does incorporating competition help?

Li, Wei; Fok, Dennis; Franses, Philip Hans - 2019

Persistent link: https://www.econbiz.de/10012149723

Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques

Maaß, Dennis; Spruit, Marco René; Waal, Peter de - In: Decision Analytics 1 (2014), pp. 1-17

product lifecycles historical sales information, which is the most important source of information used for demand forecasts …

Persistent link: https://www.econbiz.de/10010338778

Forecasting sales in the supply chain : consumer analytics in the big data era

Boone, Tonya; Ganeshan, Ram; Jain, Aditya; Sanders, Nada R. - In: International journal of forecasting 35 (2019) 1, pp. 170-180

Persistent link: https://www.econbiz.de/10012300601

Comparison of tree-based models performance in prediction of marketing campaign results using Explainable Artificial Intelligence tools

Chlebus, Marcin; Osika, Zuzanna - 2020

Persistent link: https://www.econbiz.de/10012322146

Predictive analysis and modelling football results using machine learning approach for English Premier League

Baboota, Rahul; Kaur, Harleen - In: International journal of forecasting 35 (2019) 2, pp. 741-755

Persistent link: https://www.econbiz.de/10012300725

Investigating customer churn in banking : a machine learning approach and visualization app for data science and management

Singh, Pahul Preet; Anik, Fahim Islam; Senapati, Rahul; … - In: Data science and management : DSM 7 (2024) 1, pp. 7-16

Customer attrition in the banking industry occurs when consumers quit using the goods and services offered by the bank for some time and, after that, end their connection with the bank. Therefore, customer retention is essential in today's extremely competitive banking market. Additionally,...

Persistent link: https://www.econbiz.de/10014518030

Selling premium seating in today's sport marketplace

Lawrence, Heather J.; Contorno, Ron T.; Steffek, Brandon - In: Sport marketing quarterly : preferred journal of the … 22 (2013) 1, pp. 9-19

Persistent link: https://www.econbiz.de/10009740050

Customer reviews for demand distribution and sales nowcasting : a big data approach

See-To, Eric; Ngai, Eric W. T.; Altay, Nezih - In: Big data analytics in operations and supply chain management, (pp. 415-431). 2018

Persistent link: https://www.econbiz.de/10011965492