... 12 07 2017 AI/KBS Assembly modeling CAPD CACD Data mining Data modeling DfM Rapid prototyping Manufacturability evaluation Information Modeling The engineering design process is labor intensive and can involve many individuals working long hours across several disciplines...

... September 3, 2016; final manuscript received June 2, 2017; published online July 26, 2017. Assoc. Editor: Yong Chen. 03 09 2016 02 06 2017 AI/KBS Assembly modeling Data mining Manufacturability evaluation Neural networks Engineering design has often been described...

...; final manuscript received March 2, 2017; published online May 16, 2017. Editor: Bahram Ravani. 14 05 2015 02 03 2017 AI/KBS Data mining Engineering informatics The increasing demand for better, faster, and efficient design has driven companies to constantly improve...

...: Bahram Ravani. 26 08 2015 09 02 2017 CAD CMM Data mining Features technology Nowadays, shape measurement techniques [ 1 , 2 ] are widely used in all branches of modern design and manufacturing industry, such as automotive, aerospace, cultural heritage, and bioengineering...

... 06 2016 16 06 2016 Data exchange Data mining Data modeling Engineering informatics PDM systems EIM systems Information Modeling Contextualizing data from the product lifecycle to make design decisions is very difficult. Different data in the product lifecycle are stored...

... 06 2016 Data mining Information modeling Sentiment analysis is based on the appraisal theory, which claims that the emotions are differentiated by the user's subjective appraisal of the significance of an object or event [ 1 ]. Its advantage is that it can analyze users' preferences...

... within such a massive, readily accessible collection of data would give designers an alternative way to learn customers' preferences in a timely and cost-effective manner. In this paper, we propose a data mining driven methodology that identifies product features and associated customer opinions...

... 2010 11 07 2011 22 12 2011 22 12 2011 assembling data mining formal specification inference mechanisms ontologies (artificial intelligence) production engineering computing query processing user interfaces Much of the existing work related to ontologies...

... to Data Mining , Wiley , Hoboken, NJ . Webb , G. I. , and Zhang , S. , 2005 , “ K-Optimal Rule Discovery ,” Data Min. Knowl. Discov. 1384-5810 , 10 ( 1 ), pp. 39 – 79 . 10.1007/s10618-005-0255-4 Li , J. , and Cercone , N. , 2006 , “ Introducing a Rule Importance...

.... Sci. Eng. 1530-9827 , 2 ( 3 ), pp. 199 – 207 . 10.1115/1.1528921 Romanowski , C. J. , and Nagi , R. , 2004 , “ A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities ,” ASME J. Comput. Inf. Sci. Eng. 1530-9827 , 4 ( 4 ), pp. 316...

... the product portfolio design process by eliminating the need for an exhaustive search of all possible product concepts. This is achieved through a decision tree data mining technique that generates a set of product concepts that are subsequently validated in the engineering design using multilevel...

...Carol J. Romanowski ,; Rakesh Nagi In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs...