Research on Apparel Sales Forecast Based on ID3 Decision Tree Algorithm

DOI

10.2991/icmii-15.2015.122How to use a DOI?

Keywords

ID3 decision tree, clothing market sales impact factor.

Abstract

Today’s clothing industry should get consumers’ demands in a changeable market to confirm a market scheme. Thus it’s important for enterprises to make a prediction of it before their production lines begin. The clothing markets are determined by a widely range of individual factors such as age gender personal preference and finance consumption levels and habits and so on. In this paper, we consider all kinds of individual factors, It also introduces the idea and the concrete algorithm of the traditional ID3 decision tree algorithm for the accurate prediction of apparel sales market and the industry related clothing sales forecast of the traditional method. In the end is the comparison and summary.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xurigan Saiyin
AU  - Chenna Hu
AU  - Dou Tan
AU  - Yi Liu
PY  - 2015/10
DA  - 2015/10
TI  - Research on Apparel Sales Forecast Based on ID3 Decision Tree Algorithm
BT  - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics
PB  - Atlantis Press
SP  - 704
EP  - 709
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmii-15.2015.122
DO  - 10.2991/icmii-15.2015.122
ID  - Saiyin2015/10
ER  -