Big data in fashion industry
| Autor: | J Bruniaux, Sheenam Jain, Pascal Bruniaux, Xianyi Zeng |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Engineering
business.industry 05 social sciences Fashion industry Big data 02 engineering and technology Data science Field (computer science) Work (electrical) 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business 050203 business & management Business Administration Företagsekonomi |
| Zdroj: | Sheenam Jain |
| Popis: | Significant work has been done in the field of big data in last decade. The concept of big data includes analysing voluminous data to extract valuable information. In the fashion world, big data is increasingly playing a part in trend forecasting, analysing consumer behaviour, preference and emotions. The purpose of this paper is to introduce the term fashion data and why it can be considered as big data. It also gives a broad classification of the types of fashion data and briefly defines them. Also, the methodology and working of a system that will use this data is briefly described. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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