Hybrid Learning Scheme for Data Mining Applications
T. Ravindra Babu, Musti Narasimha Murty, V.K. Agrawal · 2005
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.