Title :
Forecasting demand using probabilistic multidimensional data model
Author :
Moole, Bhaskara Reddy ; Korrapati, Raghu Babu
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;
Conference_Titel :
SoutheastCon, 2005. Proceedings. IEEE
Print_ISBN :
0-7803-8865-8
DOI :
10.1109/SECON.2005.1423298
