Titlebook: Artificial Intelligence for Fashion Industry in the Big Data Era; Sébastien Thomassey,Xianyi Zeng Book 2018 Springer Nature Singapore Pte

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ALIBI

Garment Wearing Comfort Analysis Using Data Mining Technologydata. The result shows that the pants’ pressure wear comfort is mainly influenced by four factors; there are thigh–hip factor, shank factor, waist factor, and crotch factor. The share of these four factors’ influence accounts for about 82.0%, and the thigh–hip factor takes up the biggest share and reaches to 44.5%.

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Artificial Intelligence for Fashion Industry in the Big Data Era978-981-13-0080-6Series ISSN 2366-8776 Series E-ISSN 2366-8784

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Culture, Values, and Organizational Fairnessshion trend. Many artificial intelligent (AI) methods and AI-based hybrid methods have been proven to be efficient for conducting fashion sales forecasting in previous studies. With the development and application of big data, information analytics would definitely lead to benefit for fashion sales

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有杂色

Minas Dimitriou,Gottfried Schweigers diverse topics online on the other hand. Accordingly, different research streams have emerged in order to tackle the diverse phenomena related to social media. Social media analytics as an interdisciplinary research field has arisen and integrates the different approaches of structural attributes,

Fortuitous

Kommentar: Fairness in der Bioethik,res compel manufacturers to continuously improve the performance of their production process in order to deliver the finished product within the most approximate period of time and the lowest production cost. However, consistent and optimal solutions are difficult to obtain under a fuzzy and dynamic