Author:
Porto Sandy,Quiles Marcos G.
Publisher
Springer International Publishing
Reference31 articles.
1. Aggarwal, C.C.: A framework for diagnosing changes in evolving data streams. In: Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, SIGMOD 2003, pp. 575–586. ACM, New York (2003)
2. Advances in Database Systems;CC Aggarwal,2006
3. Aggarwal, C.C.: An Introduction to Data Streams. In: Aggarwal, C.C. (ed.) Data Streams. Advances in Database Systems, vol. 31, pp. 1–8. Springer, Boston (2007).
https://doi.org/10.1007/978-0-387-47534-9_1
4. Aggarwal, C.C., Han, J., Wang, J., Yu, P.S.: A framework for clustering evolving data streams. In: Proceedings of the 29th International Conference on Very Large Data Bases, VLDB 2003, vol. 29, pp. 81–92. VLDB Endowment (2003).
http://dl.acm.org/citation.cfm?id=1315451.1315460
5. Aggarwal, C.C., Yu, P.S.: On clustering massive text and categorical data streams. Knowl. Inf. Syst. 24(2), 171–196 (2010)
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