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» Unsupervised Clustering In Streaming Data
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TDSC
2011
14 years 5 months ago
CASTLE: Continuously Anonymizing Data Streams
— Most of existing privacy preserving techniques, such as k-anonymity methods, are designed for static data sets. As such, they cannot be applied to streaming data which are cont...
Jianneng Cao, Barbara Carminati, Elena Ferrari, Ki...
CVPR
2005
IEEE
16 years 1 days ago
Semi-Supervised Adapted HMMs for Unusual Event Detection
We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the applica...
Dong Zhang, Daniel Gatica-Perez, Samy Bengio, Iain...
PODS
2003
ACM
143views Database» more  PODS 2003»
15 years 10 months ago
Maintaining variance and k-medians over data stream windows
The sliding window model is useful for discounting stale data in data stream applications. In this model, data elements arrive continually and only the most recent N elements are ...
Brian Babcock, Mayur Datar, Rajeev Motwani, Liadan...
SIGMOD
2010
ACM
144views Database» more  SIGMOD 2010»
15 years 2 months ago
Interactive visual exploration of neighbor-based patterns in data streams
We will demonstrate our system, called V iStream, supporting interactive visual exploration of neighbor-based patterns [7] in data streams. V istream does not only apply innovativ...
Di Yang, Zhenyu Guo, Zaixian Xie, Elke A. Rundenst...
CCGRID
2003
IEEE
15 years 3 months ago
Building a Performance Model of Streaming Media Applications in Utility Data Center Environment
Abstract Utility Data Center (UDC) provides a exible, coste ective infrastructure to support the hosting of applications for Internet services. In order to enable the design of a \...
Ludmila Cherkasova, Loren Staley