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International Journal of Production Research Volume 44, 2006 - Issue 14: Data Mining and Applications in Engineering Design, Manufacturing and Logistics
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Original Articles

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

T.-L. Tseng Department of Mechanical and Industrial Engineering, The University of Texas at El Paso, El Paso, TX 79968, USACorrespondence[email protected]
,
C.-C. Huang Department of Information Management, National Chi Nan University, Taiwan, 545
,
F. Jiang Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA
&
J. C. Ho D. Abbott Turner College of Business, Columbus State University, Columbus, GA 31907, USA
Pages 2935-2954 | Published online: 22 Feb 2007

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Yong-Hong Kuo & Andrew Kusiak. (2019) From data to big data in production research: the past and future trends. International Journal of Production Research 57:15-16, pages 4828-4853.
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Haiping Zhu, Fanmao Liu, Xinyu Shao & Guojun Zhang. (2010) Integration of rough set and neural network ensemble to predict the configuration performance of a modular product family. International Journal of Production Research 48:24, pages 7371-7393.
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Claudia Barreto Cabrera, Joaquín B. Ordieres Meré, Manuel Castejon Limas & Juan José del Coz Díaz. (2010) A data-driven manufacturing support system for rubber extrusion lines. International Journal of Production Research 48:8, pages 2219-2231.
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Articles from other publishers (21)

Du Ni, Zhi Xiao & Ming K. Lim. (2019) A systematic review of the research trends of machine learning in supply chain management. International Journal of Machine Learning and Cybernetics 11:7, pages 1463-1482.
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Nikolai Stein, Jan Meller & Christoph M. Flath. (2018) Big data on the shop-floor: sensor-based decision-support for manual processes. Journal of Business Economics 88:5, pages 593-616.
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Aisyah Larasati, Anik Dwiastutik, Darin Ramadhanti & Aal Mahardika. (2018) The effect of Kurtosis on the accuracy of artificial neural network predictive model. MATEC Web of Conferences 204, pages 02018.
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Li-Fei Chen & Chih-Tsung Tsai. (2016) Data mining framework based on rough set theory to improve location selection decisions: A case study of a restaurant chain. Tourism Management 53, pages 197-206.
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Shian-Hua Lin, Chun-Che Huang & Zhi-Xing Che. (2015) Rule induction for hierarchical attributes using a rough set for the selection of a green fleet. Applied Soft Computing 37, pages 456-466.
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Xiao Qing Geng & Yu Wang. (2013) An Approach Based on Generic Label Correcting Algorithm for Supply Chain Modeling. Applied Mechanics and Materials 411-414, pages 2085-2088.
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Junichiro Mori, Yuya Kajikawa, Hisashi Kashima & Ichiro Sakata. (2012) Machine learning approach for finding business partners and building reciprocal relationships. Expert Systems with Applications 39:12, pages 10402-10407.
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Jun Zhao, Ying Liu, Xiaoping Zhang & Wei Wang. (2012) A MKL based on-line prediction for gasholder level in steel industry. Control Engineering Practice 20:6, pages 629-641.
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Chunguang Bai, Joseph Sarkis, Xiaopeng Wei & Lenny Koh. (2012) Evaluating ecological sustainable performance measures for supply chain management. Supply Chain Management: An International Journal 17:1, pages 78-92.
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Yu-Neng Fan & Ching-Chin Chern. 2012. Hybrid Artificial Intelligent Systems. Hybrid Artificial Intelligent Systems 1 12 .
Junichiro Mori, Yuya Kajikawa & Hisashi Kashima. (2011) Finding business partners and building reciprocal relationships - A machine learning approach. Finding business partners and building reciprocal relationships - A machine learning approach.
Aicha Aguezzoul & Nidhal Rezg. (2011) The Impact of Transportation Network on the Supplier Selection. IFAC Proceedings Volumes 44:1, pages 2162-2166.
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Zhonghai Zou, Tzu-Liang (Bill) Tseng, Hansuk Sohn, Guofang Song & Rafael Gutierrez. (2011) A rough set based approach to distributor selection in supply chain management. Expert Systems with Applications 38:1, pages 106-115.
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J. Mori, Y. Kajikawa, I. Sakata & H. Kashima. (2010) Predicting customer-supplier relationships using network-based features. Predicting customer-supplier relationships using network-based features.
Stephan Meisel & Dirk Mattfeld. (2010) Synergies of Operations Research and Data Mining. European Journal of Operational Research 206:1, pages 1-10.
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Arijit Bhattacharya, John Geraghty & Paul Young. (2010) Supplier selection paradigm: An integrated hierarchical QFD methodology under multiple-criteria environment. Applied Soft Computing 10:4, pages 1013-1027.
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Aicha Aguezzoul. (2010) Direct or indirect delivery in multiple sourcing strategy: A lexicographic model. Direct or indirect delivery in multiple sourcing strategy: A lexicographic model.
A. K. Choudhary, J. A. Harding & M. K. Tiwari. (2008) Data mining in manufacturing: a review based on the kind of knowledge. Journal of Intelligent Manufacturing 20:5, pages 501-521.
Crossref
Zhonghai Zou, Guofang Song & Yajuan Han. (2009) Rough set based distributor selection study in supply chain. Rough set based distributor selection study in supply chain.
Chun Che Huang, Wen Yau Liang & Shian Hua Lin. (2009) An agile approach for supply chain modeling. Transportation Research Part E: Logistics and Transportation Review 45:3, pages 380-397.
Crossref
Stephan Meisel. 2009. Encyclopedia of Data Warehousing and Mining, Second Edition. Encyclopedia of Data Warehousing and Mining, Second Edition 1046 1052 .

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