A big data driven framework for demand-driven forecasting with effects of marketing-mix variables
Year of publication: |
2020
|
---|---|
Authors: | Kumar, Ajay ; Shankar, Ravi ; Aljohani, Naif Radi |
Published in: |
Industrial marketing management : the international journal for industrial and high-tech firms. - New York, NY [u.a.] : Elsevier, ISSN 0019-8501, ZDB-ID 120124-4. - Vol. 90.2020, p. 493-507
|
Subject: | Big data analytics | Demand shaping and sensing | Fuzzy neural network | Market-mix modelling | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Big Data | Big data | Fuzzy-Set-Theorie | Fuzzy sets | Data Mining | Data mining | Nachfrage | Demand |
-
Maaß, Dennis, (2014)
-
Bokelmann, Björn, (2019)
-
Amstad, Marlene, (2021)
- More ...
-
A big data MapReduce framework for fault diagnosis in cloud-based manufacturing
Kumar, Ajay, (2016)
-
Sengupta, Pooja, (2021)
-
Deep learning applications in operations research
Kumar, Ajay, (2024)
- More ...