Improving Short-Term Demand Forecasting For Short-Lifecycle Consumer Products With Data Mining Techniques: A Case Study In The Retail Industry

D. Maass; M.R. Spruit; P. de Waal

Improving Short-Term Demand Forecasting For Short-Lifecycle Consumer Products With Data Mining Techniques: A Case Study In The Retail Industry

D. Maass, M.R. Spruit, P. de Waal

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Research output: Contribution to journal › Article › Academic › peer-review

Original language	Undefined/Unknown
Pages (from-to)	4
Number of pages	1
Journal	Decision Analytics
Volume	1
Issue number	1
Publication status	Published - 2014

Bibliographical note

MAA2014-8
Information Interaction in Context

Cite this

@article{1eaf19bfa3c94225b00347b70dd34cc0,

title = "Improving Short-Term Demand Forecasting For Short-Lifecycle Consumer Products With Data Mining Techniques: A Case Study In The Retail Industry",

author = "D. Maass and M.R. Spruit and {de Waal}, P.",

note = "MAA2014-8 Information Interaction in Context",

year = "2014",

language = "Undefined/Unknown",

volume = "1",

pages = "4",

journal = "Decision Analytics",

publisher = "Springer",

number = "1",

}