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Prediction of wool knitwear pilling propensity using data mining techniques

Yap, Poh Hean 2010, Prediction of wool knitwear pilling propensity using data mining techniques, Ph.D. thesis, Institute for Technology Research and Innovation and Centre for Material and Fibre Innovation, Deakin University.


Title Prediction of wool knitwear pilling propensity using data mining techniques
Author Yap, Poh Hean
Institution Deakin University
School Institute for Technology Research and Innovation
Centre for Material and Fibre Innovation
Degree name Ph.D.
Date submitted 2010
Keyword(s) Pilling (Textiles)
Woolen and worsted manufacture
Data mining
Summary This thesis examined the application of data mining techniques to the issue of predicting pilling propensity of wool knitwear. Using real industrial data, a pilling propensity prediction tool with embedded trained support vector machines is developed to provide high accuracy prediction to wool knitwear even before the yarn is spun!
Language eng
Socio Economic Objective 970110
Description of original xiv, 192 leaves : ill. ; 30 cm.
Dewey Decimal Classification 677.31
Persistent URL http://hdl.handle.net/10536/DRO/DU:30036096

Document type: Thesis
Collection: Higher degree theses (citation only)
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Created: Mon, 08 Aug 2011, 14:55:22 EST

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