Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques
Year of publication: |
2014
|
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Authors: | Maaß, Dennis ; Spruit, Marco René ; Waal, Peter de |
Published in: |
Decision Analytics. - Berlin : SpringerOpen, ISSN 2193-8636, ZDB-ID 2758695-9. - Vol. 1.2014, p. 1-17
|
Subject: | Demand forecasting | Sales forecasting | Consumer products | Fashion products | Short life-cycle products | Data mining | Predictive modeling | Big data | Sales forecast | Combined forecasting | Judgmental forecasting | Data preparation | Domain knowledge | Contextual knowledge | Demand uncertainty | Retail | Retail testing | Demand volatility | Impulsive buying | Data Mining | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Absatz | Sales | Einzelhandel | Retail trade | Konsumentenverhalten | Consumer behaviour | Statistische Verteilung | Statistical distribution | Neuronale Netze | Neural networks |
Extent: | graph. Darst. |
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Type of publication: | Article |
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Systemvoraussetzung: Acrobat Reader |
Other identifiers: | hdl:10419/161811 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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