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2013 IEEE 13th International Conference on Data Mining (2009)
Miami, Florida
Dec. 6, 2009 to Dec. 9, 2009
ISSN: 1550-4786
ISBN: 978-0-7695-3895-2
pp: 956-961
Quality control using scalar quality measures is standard practice in manufacturing. However, there are also quality measures that are determined at a large number of positions on a product, since the spatial distribution is important. We denote such a mapping of local coordinates on the product to values of a measure as a measurement map. In this paper, we examine how measurement maps can be clustered according to a novel notion of similarity—mapscape similarity—that considers the overall course of the measure on the map. We present a class of synopses called global slope change that uses the profile of the measure along several lines from a reference point to different points on the borders to represent a measurement map. We conduct an evaluation of global slope change using a real-world data set from manufacturing and demonstrate its superiority over other synopses.
measurement map, mapscape similarity, synopsis
Frank Rosenthal, Wolfgang Lehner, Peter B. Volk, Ulrike Fischer, "Global Slope Change Synopses for Measurement Maps", 2013 IEEE 13th International Conference on Data Mining, vol. 00, no. , pp. 956-961, 2009, doi:10.1109/ICDM.2009.117
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