Hybrid Data Reduction Technique for Classification of Transaction Data
Identifieur interne : 002403 ( Main/Exploration ); précédent : 002402; suivant : 002404Hybrid Data Reduction Technique for Classification of Transaction Data
Auteurs : Ifiok Udo [Nigeria] ; Babajide Afolabi [Nigeria]Source :
Descripteurs français
- mix :
- Wicri :
- topic : Base de données.
English descriptors
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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Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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