Using clustering to improve sales forecasts in retail merchandising
type: Item
instance of: scholarly article
title: Using clustering to improve sales forecasts in retail merchandising
zbMATH Open document ID: 1185.62116
author: Mahesh Kumar
author: Nitin R. Patel
published in: Annals of Operations Research
publication date: 2010-05-10T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 91B42
Mathematics Subject Classification ID: 62P99
Mathematics Subject Classification ID: 90B60
zbMATH DE Number: 5706040
zbMATH Keywords: forecasting
zbMATH Keywords: combining forecasts
zbMATH Keywords: clustering
MaRDI profile type: Publication
full work available at URL: s10479-008-0417-z
OpenAlex ID: W2079147754
cites work: On Grouping for Maximum Homogeneity
cites work: Clustering data with measurement errors
cites work: Review of guidelines for the use of combined forecasts
cites work: Q3237829
DOI: 10.1007/S10479-008-0417-Z
description: scientific article; zbMATH DE number 5706040