Hybrid Learning Scheme for Data Mining Applications

Authors:
T. Ravindra Babu;M. Narasimha Murty;V. K. Agrawal
Affiliations:
Indian Institute of Science, Bangalore;Indian Institute of Science, Bangalore;ISRO Satellite Centre, Bangalore
Venue:
HIS '04 Proceedings of the Fourth International Conference on Hybrid Intelligent Systems
Year:
2004

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Abstract

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.