Journal ArticleDOI
Rough set theory: a data mining tool for semiconductor manufacturing
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TLDR
The rough set theory offers a viable approach for extraction of decision rules from data sets that can be used for making predictions in the semiconductor industry and other applications and a new rule-structuring algorithm is proposed.Abstract:
The growing volume of information poses interesting challenges and calls for tools that discover properties of data. Data mining has emerged as a discipline that contributes tools for data analysis, discovery of new knowledge, and autonomous decisionmaking. In this paper, the basic concepts of rough set theory and other aspects of data mining are introduced. The rough set theory offers a viable approach for extraction of decision rules from data sets. The extracted rules can be used for making predictions in the semiconductor industry and other applications. This contrasts other approaches such as regression analysis and neural networks where a single model is built. One of the goals of data mining is to extract meaningful knowledge. The power, generality, accuracy, and longevity of decision rules can be increased by the application of concepts from systems engineering and evolutionary computation introduced in this paper. A new rule-structuring algorithm is proposed. The concepts presented in the paper are illustrated with examples.read more
Citations
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A hybrid approach of rough set theory and genetic algorithm for fault diagnosis
C.L. Huang,Te-Sheng Li,T.K. Peng +2 more
TL;DR: This integrated system successfully integrated the rough set theory for handling uncertainty with a robust search engine, GA and shows that the proposed method can reduce the number of conditional attributes used in motherboard EMI fault diagnosis and maintain acceptable classification accuracy.
Journal ArticleDOI
Adaptable product configuration system based on neural network
Zhaoxun Chen,Liya Wang +1 more
TL;DR: To successfully implement APC, this research adopts an artificial neural network and a specific rule extraction mechanism to develop a product configuration system which transforms the development of the configuration system in a dynamic environment from a straightforward process to a closed circle.
Journal ArticleDOI
Online Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate
TL;DR: An application of accurate online support vector regression (AOSVR) approach that efficiently updates a trained predictor whenever a new sample is added to the training set using shaft misalignment and nuclear power plant feedwater flow rate data is presented.
Journal ArticleDOI
Applying wavelets transform, rough set theory and support vector machine for copper clad laminate defects classification
TL;DR: A multi-resolution approach for the inspection of local defects embedded in homogeneous copper clad laminate (CCL) surfaces using the novel multi-classifier, namely, support vector machine is presented.
Journal ArticleDOI
Development of smart semiconductor manufacturing : operations research and data science perspectives
TL;DR: The success story of smart manufacturing in semiconductor industry is reviewed with the focus on data-enabled decision making and optimization applications based on operations research and data science perspective and future research directions and new challenges are discussed.
References
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Journal ArticleDOI
Cross-Validatory Choice and Assessment of Statistical Predictions
TL;DR: In this article, a generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescription, and examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.
Journal ArticleDOI
Fundamentals of Biostatistics.
E. Barath,B. A. Rosner +1 more
TL;DR: Bernard Rosner's FUNDAMENTALS of BIOSTATISTICS is a practical introduction to the methods, techniques, and computation of statistics with human subjects that prepares students for their future courses and careers.
Book
Fundamentals of Biostatistics
TL;DR: Bernard Rosner's "Fundamentals of BIOSTATISTICS" as mentioned in this paper is a practical introduction to the methods, techniques, and computation of statistics with human subjects.