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» Adaptively Detecting Aggregation Bursts in Data Streams
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SAC
2010
ACM
14 years 10 days ago
Data stream anomaly detection through principal subspace tracking
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
Pedro Henriques dos Santos Teixeira, Ruy Luiz Mili...
WAIM
2009
Springer
14 years 1 days ago
Intervention Events Detection and Prediction in Data Streams
Abstract. Mining interesting patterns in data streams has attracted special attention recently. This study revealed the principles behind observations, through variation of interve...
Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Y...
ICAC
2005
IEEE
14 years 1 months ago
Distributed Stream Management using Utility-Driven Self-Adaptive Middleware
We consider pervasive computing applications that process and aggregate data-streams emanating from highly distributed data sources to produce a stream of updates that have an imp...
Vibhore Kumar, Brian F. Cooper, Karsten Schwan
DEXA
2010
Springer
266views Database» more  DEXA 2010»
13 years 8 months ago
DBOD-DS: Distance Based Outlier Detection for Data Streams
Data stream is a newly emerging data model for applications like environment monitoring, Web click stream, network traffic monitoring, etc. It consists of an infinite sequence of d...
Md. Shiblee Sadik, Le Gruenwald
ICDE
2010
IEEE
288views Database» more  ICDE 2010»
14 years 7 months ago
Global Iceberg Detection over Distributed Data Streams
In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and ba...
Ashwin Lall, Haiquan (Chuck) Zhao, Jun Xu, Mitsuno...