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» Detecting anomalies in data streams using statecharts
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SIGKDD
2008
125views more  SIGKDD 2008»
14 years 9 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
MICRO
2000
IEEE
74views Hardware» more  MICRO 2000»
15 years 2 months ago
Predictor-directed stream buffers
An effective method for reducing the effect of load latency in modern processors is data prefetching. One form of data prefetching, stream buffers, has been shown to be particular...
Timothy Sherwood, Suleyman Sair, Brad Calder
AWIC
2004
Springer
15 years 1 months ago
Attribute Reduction for Effective Intrusion Detection
Abstract. Computer intrusion detection is to do with identifying computer activities that may compromise the integrity, confidentiality or the availability of an IT system. Anomaly...
Fernando Godínez, Dieter Hutter, Raul Monro...
ICAC
2006
IEEE
15 years 3 months ago
Enabling Self-Managing Applications using Model-based Online Control Strategies
— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
Viraj Bhat, Manish Parashar, Hua Liu, Mohit Khande...
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
15 years 10 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...