Framework for Storing and Processing Relational Entities in Stream Mining
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-37456-2_42
Reference13 articles.
1. Das, A., Gehrke, J., Riedewald, M.: Approximate join processing over data streams. In: SIGMOD Conference, pp. 40–51. ACM (2003)
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3. Lecture Notes in Computer Science;F. Fumarola,2009
4. Guha, S., Meyerson, A., Mishra, N., Motwani, R., O’Callaghan, L.: Clustering data streams: Theory and practice. IEEE Transactions on Knowledge and Data Engineering, 515–528 (2003)
5. Gama, J., Rocha, R., Medas, P.: Accurate decision trees for mining high-speed data streams. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 523–528. ACM (2003)
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