Author:
Kranen Philipp,Seidl Thomas
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Information Systems
Reference28 articles.
1. Aggarwal CC, Han J, Wang J, Yu PS (2003) A framework for clustering evolving data streams. In: Proceedings of the 29th VLDB, pp 81–92
2. Aggarwal CC, Han J, Wang J, Yu PS (2004a) A framework for projected clustering of high dimensional data streams. In: Proceedings of the 30th VLDB. Morgan Kaufmann, pp 852–863
3. Aggarwal CC, Han J, Wang J, Yu PS (2004b) On demand classification of data streams. In: Proceedings of the 10th ACM KDD. ACM, pp 503–508
4. Arai B, Das G, Gunopulos D, Koudas N (2007) Anytime measures for top-k algorithms. In: Proceedings of the 33rd VLDB. ACM, pp 914–925
5. Charikar M, O’Callaghan L, Panigrahy R (2003) Better streaming algorithms for clustering problems. In: Proceedings of the 35th ACM STOC. ACM, pp 30–39
Cited by
17 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献