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Information enhancement in data mining: a study in data reduction

Author

Listed:
  • Barin N. Nag
  • Chaodong Han
  • Dong-qing Yao

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).

Suggested Citation

  • Barin N. Nag & Chaodong Han & Dong-qing Yao, 2015. "Information enhancement in data mining: a study in data reduction," International Journal of Data Analysis Techniques and Strategies, Inderscience Enterprises Ltd, vol. 7(1), pages 3-20.
  • Handle: RePEc:ids:injdan:v:7:y:2015:i:1:p:3-20
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    Cited by:

    1. Jasleen Kaur & Khushdeep Dharni, 2022. "Application and performance of data mining techniques in stock market: A review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 219-241, October.

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