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    Data-Driven Decision Tree Classification for Product Portfolio Design Optimization 

    Source: Journal of Computing and Information Science in Engineering:;2009:;volume( 009 ):;issue: 004:;page 41004
    Author(s): Conrad S. Tucker; Harrison M. Kim
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The formulation of a product portfolio requires extensive knowledge about the product market space and also the technical limitations of a company’s engineering design and manufacturing processes. ...
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    Trend Mining for Predictive Product Design 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 011:;page 111008
    Author(s): Conrad S. Tucker; Harrison M. Kim
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The Preference Trend Mining (PTM) algorithm that is proposed in this work aims to address some fundamental challenges of current demand modeling techniques being employed in the product design ...
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    Optimal Product Portfolio Formulation by Merging Predictive Data Mining With Multilevel Optimization 

    Source: Journal of Mechanical Design:;2008:;volume( 130 ):;issue: 004:;page 41103
    Author(s): Conrad S. Tucker; Harrison M. Kim
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper addresses two important fundamental areas in product family formulation that have recently begun to receive great attention. First is the incorporation of market demand that we address ...
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