HE-Tree: a framework for detecting changes in clustering structure for categorical data streams
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s00778-009-0134-5.pdf
Reference40 articles.
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3. Andritsos, P., Tsaparas, P., Miller, R.J., Sevcik, K.C.: Limbo: scalable clustering of categorical data. In: Proceedings of Intternational Conference on Extending Database Technology (EDBT) (2004)
4. Babcock, B., Babu, S., Datar, M., Motwani, R., Widom, J.: Models and issues in data stream systems. In: Proceedings of ACM Conference on Principles of Database Systems (PODS) (2002)
5. Barbara, D., Li, Y., Couto, J.: Coolcat: an entropy-based algorithm for categorical clustering. In: Proceedings of ACM Conference on Information and Knowledge Management (CIKM) (2002)
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