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Big data in fashion industry
University of Borås, Faculty of Textiles, Engineering and Business. sheenam.jain@hb.se.ORCID iD: 0000-0001-8337-251X
2017 (English)In: IOP Conference Series: Materials Science and Engineering: 17th World Textile Conference AUTEX 2017- Textiles - Shaping the Future, 2017, Vol. 254, article id 152005Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 254, article id 152005
Series
IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981, E-ISSN 1757-899X ; 254
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hb:diva-14998DOI: 10.1088/1757-899X/254/15/152005ISI: 000417214900171Scopus ID: 2-s2.0-85035032604OAI: oai:DiVA.org:hb-14998DiVA, id: diva2:1239389
Conference
17th World Textile Conference AUTEX 2017- Textiles - Shaping the Future, Corfu, 29-31 May, 2017
Available from: 2018-08-16 Created: 2018-08-16 Last updated: 2018-11-28Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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