Title: Information enhancement in data mining: a study in data reduction

Authors: Barin N. Nag; Chaodong Han; Dong-qing Yao

Addresses: Department of E-Business and Technology Management, Towson University, Towson, MD 21252, USA ' Department of E-Business and Technology Management, Towson University, Towson, MD 21252, USA ' Department of E-Business and Technology Management, Towson University, Towson, MD 21252, USA

Abstract: Data mining can be a powerful tool for information extraction from large amounts of data. One of the techniques used to enhance the information extraction process is data reduction. Based on manufacturing industry data collected from US Economic Census, we use as an example the construction of a typology of inventory strategy according to Porter's five forces model. This study shows that data reduction (e.g., more aggregate data and fewer variables) enhances the information extracted (e.g., clearer patterns).

Keywords: data mining; data reduction; cluster analysis; supply chain strategy; inventory management; information enhancement; supply chain management; SCM; manufacturing industry.

DOI: 10.1504/IJDATS.2015.067698

International Journal of Data Analysis Techniques and Strategies, 2015 Vol.7 No.1, pp.3 - 20

Available online: 18 Feb 2015 *

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