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» Adaptively Detecting Aggregation Bursts in Data Streams
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ICISC
2004
169views Cryptology» more  ICISC 2004»
13 years 9 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
SIGMOD
2003
ACM
196views Database» more  SIGMOD 2003»
14 years 7 months ago
Aurora: A Data Stream Management System
The Aurora system [1] is an experimental data stream management system with a fully functional prototype. It includes both a graphical development environment, and a runtime syste...
Daniel J. Abadi, Donald Carney, Ugur Çetint...
CVPR
2005
IEEE
14 years 9 months 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...
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 8 months ago
SWAT: Hierarchical Stream Summarization in Large Networks
The problem of statistics and aggregate maintenance over data streams has gained popularity in recent years especially in telecommunications network monitoring, trend-related anal...
Ahmet Bulut, Ambuj K. Singh
SIAMCOMP
2002
152views more  SIAMCOMP 2002»
13 years 7 months ago
Maintaining Stream Statistics over Sliding Windows
We consider the problem of maintaining aggregates and statistics over data streams, with respect to the last N data elements seen so far. We refer to this model as the sliding wind...
Mayur Datar, Aristides Gionis, Piotr Indyk, Rajeev...