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Title: Intelligent time series fast forecasting for fashion sales : a research agenda
Authors: Choi, TM 
Hui, CL 
Yu, Y
Issue Date: 2011
Source: 2011 International Conference on Machine Learning and Cybernetics (ICMLC), 10-13 July 2011, Guilin, p. 1010-1014
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.
Keywords: Intelligent forecasting
Fast forecasting
Research agenda
Sales forecasting
Publisher: IEEE
ISBN: 978-1-4577-0305-8
ISSN: 2160-133X
DOI: 10.1109/ICMLC.2011.6016870
Appears in Collections:Conference Paper

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