Applying a Hybrid Data Mining Approach in Machining Operation for Surface Quality Assurance

Manufacturing the Future ◽

10.5772/5062 ◽

2006 ◽

Author(s):

Tzu-Liang Bill ◽

Yongjin Kwon ◽

Ryan B.

Keyword(s):

Data Mining ◽

Quality Assurance ◽

Surface Quality ◽

Data Mining Approach ◽

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A hybrid data mining approach to quality assurance of manufacturing process

2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence) ◽

10.1109/fuzzy.2008.4630465 ◽

2008 ◽

Author(s):

Chun-Che Huang ◽

Yu-Neng Fan ◽

Tzu-Liang Tseng ◽

Chia-Hsun Lee ◽

Horng-Fu Chuang

Keyword(s):

Data Mining ◽

Quality Assurance ◽

Manufacturing Process ◽

Data Mining Approach ◽

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Development of a soldering quality classifier system using a hybrid data mining approach

Expert Systems with Applications ◽

10.1016/j.eswa.2011.11.097 ◽

2012 ◽

Vol 39 (5) ◽

pp. 5727-5738 ◽

Author(s):

Tsung-Nan Tsai

Keyword(s):

Data Mining ◽

Classifier System ◽

Data Mining Approach ◽

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A hybrid data-mining approach in genomics and text structures

Third IEEE International Conference on Data Mining ◽

10.1109/icdm.2003.1250999 ◽

2004 ◽

Author(s):

H.-N. Teodorescu ◽

L.I. Fira

Keyword(s):

Data Mining ◽

Data Mining Approach ◽

Text Structures ◽

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Hybrid data mining approach for pattern extraction from wafer bin map to improve yield in semiconductor manufacturing

International Journal of Production Economics ◽

10.1016/j.ijpe.2006.05.015 ◽

2007 ◽

Vol 107 (1) ◽

pp. 88-103 ◽

Author(s):

Shao-Chung Hsu ◽

Chen-Fu Chien

Keyword(s):

Data Mining ◽

Semiconductor Manufacturing ◽

Pattern Extraction ◽

Data Mining Approach ◽

Hybrid Data ◽

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Hybrid data mining approach for intrusion detection using modified AODV algorithm

2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE) ◽

10.1109/mite.2013.6756315 ◽

2013 ◽

Author(s):

Maheshwari Shashikant ◽

Sumit Shrivastava

Keyword(s):

Data Mining ◽

Intrusion Detection ◽

Data Mining Approach ◽

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Improve class prediction performance using a hybrid data mining approach

2009 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2009.5212497 ◽

2009 ◽

Author(s):

Li-Fei Chen

Keyword(s):

Data Mining ◽

Prediction Performance ◽

Class Prediction ◽

Data Mining Approach ◽

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A Hybrid Data Mining Approach for Knowledge Extraction and Classification in Medical Databases

Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007) ◽

10.1109/isda.2007.4389658 ◽

2007 ◽

Author(s):

Syed ZahidHassan ◽

Brijesh Verma

Keyword(s):

Data Mining ◽

Knowledge Extraction ◽

Medical Databases ◽

Data Mining Approach ◽

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A hybrid data mining approach for anomaly detection and evaluation in residential buildings energy data

Energy and Buildings ◽

10.1016/j.enbuild.2020.109864 ◽

2020 ◽

Vol 215 ◽

pp. 109864 ◽

Author(s):

Chengliang Xu ◽

Huanxin Chen

Keyword(s):

Data Mining ◽

Anomaly Detection ◽

Residential Buildings ◽

Energy Data ◽

Data Mining Approach ◽

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A Hybrid Data Mining Approach for Credit Card Usage Behavior Analysis

E-business and Telecommunications - Communications in Computer and Information Science ◽

10.1007/978-3-540-88653-2_6 ◽

2008 ◽

pp. 85-97

Author(s):

Chieh-Yuan Tsai

Keyword(s):

Data Mining ◽

Behavior Analysis ◽

Credit Card ◽

Data Mining Approach ◽

Usage Behavior ◽

Hybrid Data ◽

Credit Card Usage

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Applying a hybrid data-mining approach to prediction problems: a case of preferred suppliers prediction

International Journal of Production Research ◽

10.1080/00207540600654525 ◽

2006 ◽

Vol 44 (14) ◽

pp. 2935-2954 ◽

Author(s):

T.-L. Tseng ◽

C.-C. Huang ◽

F. Jiang ◽

J. C. Ho

Keyword(s):

Data Mining ◽

Data Mining Approach ◽

Hybrid Data ◽

Prediction Problems

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