Machine learning models for forecasting and estimation of business operations
Year of publication: |
2023
|
---|---|
Authors: | Ahamed, Shaik Fayaz ; Vijayasankar, A. ; Thenmozhi, M. ; Rajendar, S. ; Bindu, P. ; Rao, T. Subha Mastan |
Published in: |
The journal of high technology management research. - Amsterdam [u.a.] : Elsevier, ISSN 1047-8310, ZDB-ID 1041080-6. - Vol. 34.2023, 1, p. 1-8
|
Subject: | Business operations | Forecasting | Machine learning algorithms | Sales forecasting | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Algorithmus | Algorithm | Absatz | Sales | Prognose | Forecast |
-
Tang, Zhongjun, (2021)
-
An application of support vector machines to sales forecasting under promotions
Di Pillo, Gianni, (2016)
-
Evangelista, Vivian M., (2019)
- More ...
-
Evidence on changes in time varying volatility around bonus and rights issue announcements
Malhotra, Madhuri, (2013)
-
Causal effect of volume on stock returns and conditional volatility in developed and emerging market
Kumar, Manish, (2012)
-
Forecasting stock index returns using ARIMA-SVM, ARIMA-ANN, and ARIMA-random forest hybrid models
Kumar, Manish, (2014)
- More ...