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VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 6 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
ICDE
2005
IEEE
180views Database» more  ICDE 2005»
14 years 7 months ago
A Unified Framework for Monitoring Data Streams in Real Time
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...
Ahmet Bulut, Ambuj K. Singh
WWW
2010
ACM
14 years 1 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
AVSS
2008
IEEE
14 years 28 days ago
Automatic Detection of Adverse Weather Conditions in Traffic Scenes
Visual surveillance in outdoor environments requires the monitoring of both objects and events. The analysis is generally driven by the target application which, in turn, determin...
Andrea Lagorio, Enrico Grosso, Massimo Tistarelli
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
13 years 11 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar