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» Visually mining and monitoring massive time series
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CONEXT
2009
ACM
13 years 7 months ago
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Network traffic can be represented by a Traffic Dispersion Graph (TDG) that contains an edge between two nodes that send a particular type of traffic (e.g., DNS) to one another. T...
Marios Iliofotou, Michalis Faloutsos, Michael Mitz...

Publication
412views
15 years 4 months ago
Analyzing Transit Service Reliability using Detailed Data From Automatic Vehicular Locator Systems
The widespread adoption of automated vehicle location systems (AVL) and automatic passenger counters (APC) in the transit industry has opened new venues in operations and system mo...
A. M. El-Geneidy, J. Horning, K. J. Krizek
KDD
2006
ACM
240views Data Mining» more  KDD 2006»
14 years 6 months ago
Adaptive event detection with time-varying poisson processes
Time-series of count data are generated in many different contexts, such as web access logging, freeway traffic monitoring, and security logs associated with buildings. Since this...
Alexander T. Ihler, Jon Hutchins, Padhraic Smyth
PKDD
2005
Springer
159views Data Mining» more  PKDD 2005»
13 years 12 months ago
Fast Burst Correlation of Financial Data
We examine the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. Our methodology is comprised of two steps: a burst dete...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
JUCS
2006
225views more  JUCS 2006»
13 years 6 months ago
Restricting the View and Connecting the Dots - Dangers of a Web Search Engine Monopoly
: Everyone realizes how powerful the few big Web search engine companies have become, both in terms of financial resources due to soaring stock quotes and in terms of the still hid...
Narayanan Kulathuramaiyer, Wolf-Tilo Balke