Hybrid Learning Scheme for Data Mining Applications

H
HIS
2004
Fourth International Conference on Hybrid Intelligent Systems (HIS'04)
Abstract - Hybrid Learning Scheme for Data Mining Applications

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by T. Ravindra Babu Articles by M. Narasimha Murty Articles by V. K. Agrawal

Fourth International Conference on Hybrid Intelligent Systems (HIS'04)

Kitakyushu, Japan

December 05-December 08

ISBN: 0-7695-2291-2

	ASCII Text	x
	T. Ravindra Babu, M. Narasimha Murty, V. K. Agrawal, "Hybrid Learning Scheme for Data Mining Applications," Hybrid Intelligent Systems, International Conference on, pp. 266-271, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004.

	BibTex	x
	@article{ 10.1109/ICHIS.2004.56, author = {T. Ravindra Babu and M. Narasimha Murty and V. K. Agrawal}, title = {Hybrid Learning Scheme for Data Mining Applications}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2004}, isbn = {0-7695-2291-2}, pages = {266-271}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.56}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - Hybrid Learning Scheme for Data Mining Applications SN - 0-7695-2291-2 SP266 EP271 A1 - T. Ravindra Babu, A1 - M. Narasimha Murty, A1 - V. K. Agrawal, PY - 2004 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

T. Ravindra Babu, Indian Institute of Science, Bangalore

M. Narasimha Murty, Indian Institute of Science, Bangalore

V. K. Agrawal, ISRO Satellite Centre, Bangalore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.56

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.

Citation:

T. Ravindra Babu, M. Narasimha Murty, V. K. Agrawal, "Hybrid Learning Scheme for Data Mining Applications," his, pp.266-271, Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.