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» Adaptive Model Rules From High-Speed Data Streams
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DAGM
2009
Springer
13 years 11 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters
SIGMOD
2006
ACM
148views Database» more  SIGMOD 2006»
14 years 5 months ago
Research issues in data stream association rule mining
There exist emerging applications of data streams that require association rule mining, such as network traffic monitoring and web click streams analysis. Different from data in t...
Nan Jiang, Le Gruenwald
ACISP
2000
Springer
13 years 9 months ago
High Performance Agile Crypto Modules
This paper examines the impact of the primary symmetric key cryptographic operation on network data streams, encryption of user data, have on the overall tra c throughput. The encr...
Chandana Gamage, Jussipekka Leiwo, Yuliang Zheng
VLDB
2005
ACM
140views Database» more  VLDB 2005»
13 years 10 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 5 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu