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ACSW
2004
15 years 8 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
16 years 7 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani
INFOCOM
2006
IEEE
16 years 1 months ago
Reverse Hashing for High-Speed Network Monitoring: Algorithms, Evaluation, and Applications
— A key function for network traffic monitoring and analysis is the ability to perform aggregate queries over multiple data streams. Change detection is an important primitive w...
Robert T. Schweller, Zhichun Li, Yan Chen, Yan Gao...
CIKM
2011
Springer
14 years 7 months ago
Lower-bounding term frequency normalization
In this paper, we reveal a common deficiency of the current retrieval models: the component of term frequency (TF) normalization by document length is not lower-bounded properly;...
Yuanhua Lv, ChengXiang Zhai
MM
2010
ACM
198views Multimedia» more  MM 2010»
15 years 7 months ago
Social pixels: genesis and evaluation
Huge amounts of social multimedia is being created daily by a combination of globally distributed disparate sensors, including human-sensors (e.g. tweets) and video cameras. Taken...
Vivek K. Singh, Mingyan Gao, Ramesh Jain