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» Efficient frequent pattern mining over data streams
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IJAIT
2007
180views more  IJAIT 2007»
14 years 9 months ago
Detection and Prediction of Rare Events in Transaction Databases
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Christos Berberidis, Ioannis P. Vlahavas
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
15 years 11 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
PAMI
2011
14 years 4 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
15 years 10 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...
MTA
2008
132views more  MTA 2008»
14 years 9 months ago
Peer to peer video streaming in Bluetooth overlays
As Bluetooth is available in most personal and portable terminals (eg, cellular phone, PDA, videocamera, laptop, etc) P2P video streaming through Bluetooth networks is now a reali...
Sewook Jung, Alexander Chang, Mario Gerla