Intelligent time series fast forecasting for fashion sales: A research agenda
Journal
Proceedings - International Conference on Machine Learning and Cybernetics
Journal Volume
3
Pages
1010-1014
ISBN
9.78E+12
Date Issued
2011
Author(s)
Abstract
Forecasting for the time series sales data of fashion products is crucial for many fashion companies. However, both the traditional statistical methods and the more advanced intelligent artificial intelligence (AI) methods suffer serious drawbacks in which the former's performance depend highly on the time series data's features whereas the latter ones are slow. There is hence a need to call for the development of an intelligent time series forecasting system which is fast, versatile and can achieve a reasonably high accuracy. In this paper, we explore this issue and propose a research agenda for future studies around intelligent fast forecasting system for the prediction of fashion sales time series. ? 2011 IEEE.
Subjects
fashion; fast forecasting; Intelligent forecasting; research agenda; sales forecasting
Other Subjects
fashion; fast forecasting; Intelligent forecasting; research agenda; sales forecasting; Cybernetics; Intelligent systems; Learning systems; Research; Sales; Time series; Forecasting
Type
conference paper