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CIKM
2008
Springer
15 years 1 months ago
Fast mining of complex time-stamped events
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons with one or more agenda items at zero ...
Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, ...
IADIS
2004
15 years 1 months ago
A note on the distribution of packet arrivals in high-speed data networks
A simple explanation is given of an anomaly often detected in traffic measurement when packet timings are truncated to nearest whole numbers. The correct observed discrete distrib...
Vic Grout, Stuart Cunningham, Denise Oram, Rich He...
ICASSP
2011
IEEE
14 years 3 months ago
Detecting low-rate periodic events in Internet traffic using renewal theory
In our previous work [1, 2] we studied detection of anomalies in packet arrival times for computer networks, most detection of denialof-service (DoS) attacks in Internet traffic....
Sean McPherson, Antonio Ortega
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
15 years 6 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
ISMIS
2009
Springer
15 years 6 months ago
Novelty Detection from Evolving Complex Data Streams with Time Windows
Abstract. Novelty detection in data stream mining denotes the identification of new or unknown situations in a stream of data elements flowing continuously in at rapid rate. This...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...