Investigating the effectiveness of conditional classification: an application to manufacturing scheduling

This paper examines the problem of multidimensional classification, an automated learning process where "rules" are to be inferred on separate but related aspects of a problem, using identical or overlapping data sets. A general framework describing the various types of multidimensional cl...

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Veröffentlicht in:	IEEE transactions on engineering management 1994-05, Vol.41 (2), p.183-193
Hauptverfasser:	Chaturvedi, A.R., Nazareth, D.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Automation Availability Classification Data mining Decision trees Effectiveness Exact sciences and technology Expert systems Humans Job shop scheduling Machine learning Manufacturing Manufacturing automation Manufacturing processes Mathematical models Operational research and scientific management Operational research. Management science Pulp manufacturing Robustness Scheduling Scheduling, sequencing Studies
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