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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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Guest editorial

Data mining applications in engineering design, manufacturing and logistics

J.C.-X. Feng Department of Industrial and Manufacturing Engineering, Broadley University, Peoria, Illinois 61625, USA E-mail: [email protected]
&
A. Kusiak Intelligent Systems Laboratory, Mechanical and Industrial Engineering, The University of Iowa, Iowa City, Iowa 52242-1527, USA
Pages 2689-2694 | 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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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 (14)

Pedro Luis Duque Hurtado, José David Giraldo Castellanos & Iván Darío Osorio Gómez. (2023) Análisis bibliométrico de la investigación en big data y cadena de suministro. Revista CEA 9:20, pages e2448.
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Loan T.T. Nguyen, Thang Mai, Giao-Huy Pham, Unil Yun & Bay Vo. (2023) An efficient method for mining high occupancy itemsets based on equivalence class and early pruning. Knowledge-Based Systems 267, pages 110441.
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Mengyao Li, Chang Su & Guolong Li. (2021) Prediction of the Stability of the Loaded Rock Based on the Acoustic Emission Characteristics of the Loaded Rock Based on Data Mining. Shock and Vibration 2021, pages 1-8.
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Christoph Schock, Jonas Dumler & Frank Doepper. (2021) Data Acquisition and Preparation – Enabling Data Analytics Projects within Production. Procedia CIRP 104, pages 636-640.
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Blanka Bartova & Vladislav Bina. (2020) Data Mining Methods Used for Quality Management – a Bibliometric Analysis. Data Mining Methods Used for Quality Management – a Bibliometric Analysis.
Weifeng Wang, Bing Lou, Xiong Li, Xizhong Lou, Ning Jin & Ke Yan. (2019) Intelligent maintenance frameworks of large-scale grid using genetic algorithm and K-Mediods clustering methods. World Wide Web 23:2, pages 1177-1195.
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Laura Cattaneo, Luca Fumagalli, Marco Macchi & Elisa Negri. (2018) Clarifying Data Analytics Concepts for Industrial Engineering. IFAC-PapersOnLine 51:11, pages 820-825.
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Longbing CaoLongbing Cao. 2018. Data Science Thinking. Data Science Thinking 263 292 .
P. Vazan, D. Janikova, P. Tanuska, M. Kebisek & Z. Cervenanska. (2017) Using data mining methods for manufacturing process control. IFAC-PapersOnLine 50:1, pages 6178-6183.
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Gülser Köksal, İnci Batmaz & Murat Caner Testik. (2011) A review of data mining applications for quality improvement in manufacturing industry. Expert Systems with Applications 38:10, pages 13448-13467.
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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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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.
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Keqin Wang, Shurong Tong, Benoit Eynard, Lionel Roucoules & Nada Matta. (2007) Review on Application of Data Mining in Product Design and Manufacturing. Review on Application of Data Mining in Product Design and Manufacturing.
Stephan Meisel & Dirk Mattfeld. (2007) Synergies of Data Mining and Operations Research. Synergies of Data Mining and Operations Research.

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