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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10509

Title: Symbolic data as measures for logistical performances
Authors: DE VOS, Daniella
Issue Date: 2007
Citation: Classification And Data AnaLysis Cladag 2007.
Abstract: In this paper we are analysing logistical surveys. The surveys assess the level of best practices application within manufacturing companies and are processed in our prototype of a machine-learning system combining categorical data and numerical financial data building value factors. We extended the meta-data phase measuring dissimilarities between different modal variables. The main objective is to find patterns in the distribution of the results that can be translated in general rules.
URI: http://hdl.handle.net/1942/10509
ISBN: 978-88-6056-020-9
Category: C1
Type: Proceedings Paper
Appears in Collections: Research publications

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