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Data Mining Analysis of Unqualified Imported Textile Colorfastness

  • Author(s) / Creator(s)
  • The textile industry is a traditional industry in China, having a large share of China’s total import and export volume each year. As the living standards of people improve, consumers not only care about the price and style of textile consumer goods, but
    are also increasingly concerned about the quality of textile consumer goods, especially colorfastness.

  • Date created
    2016-12-01
  • Subjects / Keywords
  • Type of Item
    Article (Published)
  • DOI
    https://doi.org/10.7939/r3-n4zw-ye91
  • License
    Use of this product is restricted to current faculty, staff, and students of the University. It is the responsibility of each user to ensure that he or she uses this product for individual, non-commercial educational or research purposes only, and does not systematically download or retain substantial portions of information. Users may not reproduce or redistribute unprocessed/raw data portions of the data to any third party, or otherwise engage in the systematic retransmission or commercialization of the data.
  • Language
  • Citation for previous publication
    • Zhang Jiake, Xue Wenliang, & Wei Mengyuan. (2016). Data Mining Analysis of Unqualified Imported Textile Colorfastness. AATCC REVIEW, 16(6), 35–41. https://doi-org.login.ezproxy.library.ualberta.ca/10.14504/ar.16.6.3