Babu, Ravindra T and Murty, Narasimha M and Agrawal, VK (2004) Hybrid Learning Scheme for Data Mining Applications. In: Fourth International Conference on Hybrid Intelligent Systems, 2004, 5-8 December, Kitakyushu,Japan, 266 -271.
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.
|Item Type:||Conference Paper|
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|Department/Centre:||Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)|
|Date Deposited:||23 Jan 2007|
|Last Modified:||19 Sep 2010 04:21|
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