Agents and stream data mining: a new perspective
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Zili Zhang | Ee-Peng Lim | Kok-Leong Ong | Wee Keong Ng | W. Ng | Ee-Peng Lim | K. Ong | Zili Zhang
[1] Salvatore J. Stolfo,et al. JAM: Java Agents for Meta-Learning over Distributed Databases , 1997, KDD.
[2] Philip S. Yu,et al. Data Mining: How Research Meets Practical Development? , 2003, Knowledge and Information Systems.
[3] Ee-Peng Lim,et al. FSSM: Fast Construction of the Optimized Segment Support Map , 2003, DaWaK.
[4] George H. John. Behind-the-scenes data mining: a report on the KDD-98 panel , 1999, SKDD.
[5] Ilker Hamzaoglu,et al. Scalable, Distributed Data Mining - An Agent Architecture , 1997, KDD.
[6] Ron Kohavi,et al. Real world performance of association rule algorithms , 2001, KDD '01.
[7] Ian Witten,et al. Data Mining , 2000 .
[8] Heikki Mannila,et al. OSSM: a segmentation approach to optimize frequency counting , 2002, Proceedings 18th International Conference on Data Engineering.
[9] Michael Stonebraker,et al. Monitoring Streams - A New Class of Data Management Applications , 2002, VLDB.
[10] Geert Wets,et al. Using association rules for product assortment decisions: a case study , 1999, KDD '99.
[11] K. Vanhoof,et al. Profiling of High-Frequency Accident Locations by Use of Association Rules , 2003 .
[12] Rajeev Motwani,et al. Approximate Frequency Counts over Data Streams , 2012, VLDB.
[13] Zili Zhang,et al. An agent-based hybrid framework for database mining , 2003, Appl. Artif. Intell..
[14] Philip S. Yu,et al. A Framework for Clustering Evolving Data Streams , 2003, VLDB.