Bridging customer knowledge to innovative product development: a data mining approach-Reference-Cited by-同舟云学术

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Bridging customer knowledge to innovative product development: a data mining approach

Published:2019-01-16 Issue:20 Volume:57 Page:6335-6350
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhan Yuanzhu¹,Tan Kim Hua²,Huo Baofeng³

Affiliation:

1. Liverpool University Management School, The University of Liverpool, Liverpool, United Kingdom

2. Nottingham University Business School, The University of Nottingham, Nottingham, United Kingdom

3. College of Management and Economics, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1566662

Reference83 articles.

1. Data-mining-based methodology for the design of product families

2. Aich, S., K. Younga, K. L. Hui, A. A. Al-Absi, and M. Sain. 2018. “A Nonlinear Decision Tree Based Classification Approach to Predict Parkinson’s Disease Using Different Feature Sets of Voice Data.” In 20th International Conference on Advanced Communication Technology (ICACT) (pp. 638–642), IEEE.

3. Product development with data mining techniques: A case on design of digital camera

4. DATA MINING AND MACHINE LEARNING IN ASTRONOMY

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