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» Detecting anomalies in data streams using statecharts
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ICANN
2007
Springer
15 years 1 months ago
Topology Aware Internet Traffic Forecasting Using Neural Networks
Forecasting Internet traffic is receiving an increasing attention from the computer networks domain. Indeed, by improving this task efficient traffic engineering and anomaly detect...
Paulo Cortez, Miguel Rio, Pedro Sousa, Miguel Roch...
96
Voted
EDBT
2009
ACM
136views Database» more  EDBT 2009»
15 years 4 months ago
Rule-based multi-query optimization
Data stream management systems usually have to process many long-running queries that are active at the same time. Multiple queries can be evaluated more efficiently together tha...
Mingsheng Hong, Mirek Riedewald, Christoph Koch, J...
65
Voted
ICPR
2006
IEEE
15 years 10 months ago
ViSE: Visual Search Engine Using Multiple Networked Cameras
We propose a Visual Search Engine (ViSE) as a semi-automatic component in a surveillance system using networked cameras. The ViSE aims to assist the monitoring operation of huge a...
Anil K. Jain, Itaru Kitahara, Kiyoshi Kogure, Nori...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
14 years 11 months ago
Less is More: Compact Matrix Decomposition for Large Sparse Graphs
Given a large sparse graph, how can we find patterns and anomalies? Several important applications can be modeled as large sparse graphs, e.g., network traffic monitoring, resea...
Jimeng Sun, Yinglian Xie, Hui Zhang, Christos Falo...
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
15 years 10 months ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...