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SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 2 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
MASCOTS
2010
15 years 1 months ago
OnTimeDetect: Dynamic Network Anomaly Notification in perfSONAR Deployments
To monitor and diagnose bottlenecks on network paths used for large-scale data transfers, there is an increasing trend to deploy measurement frameworks such as perfSONAR. These dep...
Prasad Calyam, Jialu Pu, Weiping Mandrawa, Ashok K...
CORR
2010
Springer
150views Education» more  CORR 2010»
14 years 11 months ago
Dendritic Cells for Real-Time Anomaly Detection
Dendritic Cells (DCs) are innate immune system cells which have the power to activate or suppress the ystem. The behaviour of human DCs is abstracted to form an algorithm suitable...
Julie Greensmith, Uwe Aickelin
SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
15 years 5 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
JNW
2008
83views more  JNW 2008»
14 years 11 months ago
Substantiating Timing and Behavioral Anomalies in Wireless LANs Using GCL
With the increasing dependence on wireless LANs (WLANs), businesses, educational institutions and other organizations are in need of a reliable security mechanism. The latest secur...
Elankayer Sithirasenan, Vallipuram Muthukkumarasam...