Towards Better Data Pre-Processing for Building Recipe Recommendation Systems from Industrial Fabric Dyeing Manufacturing Records: Categorization of Coloration Properties for a Dye Combination on Different Fabrics
نویسندگان
چکیده
Intelligent manufacturing for the fabric dyeing industry requires high-performance recipe recommendation systems. Nowadays, recommending recipes by mining data has become a new direction development of As one indispensable parts in system development, pre-processing needs more than routine steps such as removal missing and outliers. Considering that dyes can have very different coloration properties on fabrics, records given dye combination to types should be properly categorized before they are used training regression models prediction. In this paper, we propose simple but effective method categorization work. Our uses conventional K-means clustering analysis find similar combination. We applied formed Colvaceton reactive dye-navy blue CF (CRD-navy blue), dye-bright red 3BSN150% (CRD-red) dye-yellow 3RS150% (CRD-yellow) 28 fabrics. show these fabrics well into 8 groups based properties. proposed listed standard data-mining
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ژورنال
عنوان ژورنال: Frontiers in artificial intelligence and applications
سال: 2022
ISSN: ['1879-8314', '0922-6389']
DOI: https://doi.org/10.3233/faia220006