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Hybrid Data Reduction Technique for Classification of Transaction Data

Ifiok James Udo 1, * Babajide Afolabi 1, 2 
* Corresponding author
2 SITE - SITE
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Data classification problems during the process of mining transaction data requires robust and efficient data reduction technique to guard against loss of essential level information. In this paper, we have addressed the concepts of data reduction in transaction processing systems. The tradeoffs of data reduction techniques are being presented and a hybrid technique for data reduction suitable for addressing classification problems of transaction data is proposed.
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https://archivesic.ccsd.cnrs.fr/sic_00597930
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Submitted on : Thursday, June 2, 2011 - 6:02:50 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
Long-term archiving on: : Saturday, September 3, 2011 - 2:25:31 AM

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  • HAL Id : sic_00597930, version 1

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Ifiok James Udo, Babajide Afolabi. Hybrid Data Reduction Technique for Classification of Transaction Data. Journal of Computer Science and Engineering, 2011, 6 (2), pp.12-16. ⟨sic_00597930⟩

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