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» On Detecting Clustered Anomalies Using SCiForest
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ISMIS
2009
Springer
15 years 4 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...
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 10 days 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
WWW
2009
ACM
15 years 4 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
71
Voted
CLUSTER
2004
IEEE
15 years 1 months ago
Towards informatic analysis of Syslogs
The complexity and cost of isolating the root cause of system problems in large parallel computers generally scales with the size of the system. Syslog messages provide a primary ...
John Stearley
MOBISYS
2008
ACM
15 years 9 months ago
The pothole patrol: using a mobile sensor network for road surface monitoring
This paper investigates an application of mobile sensing: detecting and reporting the surface conditions of roads. We describe a system and associated algorithms to monitor this i...
Jakob Eriksson, Lewis Girod, Bret Hull, Ryan Newto...