Hybrid learning scheme for data mining applications
| Autor: | Babu, TR, Murty, MN, Agrawal, VK |
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| Přispěvatelé: | Ishikawa, M, Hashimoto, S, Paprzycki, M, Yoshida, K, Barakova, E, Koppen, M, Corne, DW, Abraham, A |
| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: | |
| Zdroj: | IndraStra Global. |
| ISSN: | 2381-3652 |
| Popis: | Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directly in its compressed form. The work forms a hybrid learning approach integrating the activities of data abstraction, frequent item generation, compression, classification and use of rough sets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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