DocumentCode
3083784
Title
Forecasting demand using probabilistic multidimensional data model
Author
Moole, Bhaskara Reddy ; Korrapati, Raghu Babu
fYear
2005
fDate
8-10 April 2005
Firstpage
521
Lastpage
526
Abstract
Forecasting demand is a complex task involving uncertainty, heuristics, and analysis of sales, promotion, and competition data. Probabilistic multidimensional data models capture uncertainty using probabilistic measures and are capable of storing and manipulating large amounts of data. A demand forecasting method using a probabilistic multidimensional data model is described in this paper.
Keywords
data analysis; data models; demand forecasting; multidimensional systems; probability; uncertainty handling; competition data; data cube; data uncertainty; demand forecasting; heuristics; probabilistic multidimensional data model; promotion analysis; sales analysis; Algebra; Communication industry; Data analysis; Data models; Data warehouses; Demand forecasting; Marketing and sales; Measurement uncertainty; Multidimensional systems; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
SoutheastCon, 2005. Proceedings. IEEE
Print_ISBN
0-7803-8865-8
Type
conf
DOI
10.1109/SECON.2005.1423298
Filename
1423298
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