Journal ArticleDOI
Rough set theory: a data mining tool for semiconductor manufacturing
Reads0
Chats0
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
More filters
Journal ArticleDOI
A data mining approach for generation of control signatures
TL;DR: Basic data mining algorithms are introduced based on rough set theory to derive associations among control parameters and the product quality in the form of decision rules leading to good quality products of a metal forming process.
Journal ArticleDOI
Rough Sets-Assisted Subfield Optimization for Alternating Current Plasma Display Panel
TL;DR: Simulation results show that dynamic false contouring can be effectively reduced by this optimization technique, and the complexity can be minimized, using rough sets theory.
Journal ArticleDOI
Applying rough sets to prevent customer complaints for IC packaging foundry
TL;DR: Rough set theory is applied to discover important attributes leading to complaints and induce decision rules based on the data of a Taiwanese IC packaging foundry that ranks one of the largest in the world.
Journal ArticleDOI
Machine learning approach for determining feasible plans of a remanufacturing system
TL;DR: A new method using a machine learning-based approach to predict the plan feasibility required in practical applications is suggested and can be considered as the first step for optimization-based planning.
Journal ArticleDOI
Data-based scheduling framework and adaptive dispatching rule of complex manufacturing systems
TL;DR: In this paper, a data-based scheduling framework for complex manufacturing systems is proposed and discussed for its implementation into a semiconductor manufacturing system, based on the analysis of the differences and relations between traditional and databased scheduling methods.
References
More filters
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.