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» Global Iceberg Detection over Distributed Data Streams
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CVPR
2009
IEEE
15 years 2 months ago
Observe Locally, Infer Globally: a Space-Time MRF for Detecting Abnormal Activities with Incremental Updates
We propose a space-time Markov Random Field (MRF) model to detect abnormal activities in video. The nodes in the MRF graph correspond to a grid of local regions in the video fra...
Jaechul Kim (University of Texas at Austin), Krist...
USENIX
2007
13 years 9 months ago
Hyperion: High Volume Stream Archival for Retrospective Querying
Network monitoring systems that support data archival and after-the-fact (retrospective) queries are useful for a multitude of purposes, such as anomaly detection and network and ...
Peter Desnoyers, Prashant J. Shenoy
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 7 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
ICDCSW
2007
IEEE
14 years 1 months ago
Event Stream Processing with Out-of-Order Data Arrival
Complex event processing has become increasingly important in modern applications, ranging from supply chain management for RFID tracking to real-time intrusion detection. The goa...
Ming Li, Mo Liu, Luping Ding, Elke A. Rundensteine...
SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
14 years 7 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