Conference proceeding
Autonomous diagnostics: a data mining approach
Design and optimization of intelligent machine tools = Projektowanie i optymalizacja inteligentnych obrabiarek, pp.100-108
Workshop on Supervising and Diagnostics of Machining Systems, XI (Karpacz, Poland, 03/12/2000 - 03/17/2000)
2000
Abstract
Data mining offers tools for data analysis, knowledge discovery, and autonomous decision-making. In this paper, a data mining approach is used to extract meaningful features (attributes) from a data set and make accurate predictions for a semiconductor process application. An important property of the approach discussed in this paper is that a decision is made only when it is accurately predicted, otherwise no autonomous decision is recommended. The high accuracy of predictions made by the proposed approach is based on a weak assumption that objects with equivalent values of a subset of attributes produce equivalent outcomes.
Details
- Title: Subtitle
- Autonomous diagnostics: a data mining approach
- Creators
- Andrew Kusiak - University of Iowa
- Contributors
- Jerzy Jędrzejewski (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- Design and optimization of intelligent machine tools = Projektowanie i optymalizacja inteligentnych obrabiarek, pp.100-108
- Conference
- Workshop on Supervising and Diagnostics of Machining Systems, XI (Karpacz, Poland, 03/12/2000 - 03/17/2000)
- Publisher
- Oficyna Wydawnicza Politechniki Wrocławskiej; Wrocław
- Language
- English
- Date published
- 2000
- Academic Unit
- Industrial and Systems Engineering; Nursing
- Record Identifier
- 9983557646902771
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