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» Detecting Change in Data Streams
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DAWAK
2006
Springer
14 years 21 days ago
Providing Persistence for Sensor Data Streams by Remote WAL
Rapidly changing environments such as robots, sensor networks, or medical services are emerging. To deal with them, DBMS should persist sensor data streams instantaneously. To achi...
Hideyuki Kawashima, Michita Imai, Yuichiro Anzai
IDA
2002
Springer
13 years 8 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
WACV
2012
IEEE
12 years 4 months ago
LOST: Longterm Observation of Scenes (with Tracks)
We introduce the Longterm Observation of Scenes (with Tracks) dataset. This dataset comprises videos taken from streaming outdoor webcams, capturing the same half hour, each day, ...
Austin Abrams, Jim Tucek, Joshua Little, Nathan Ja...
ICDE
2007
IEEE
183views Database» more  ICDE 2007»
14 years 10 months ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
PVLDB
2010
172views more  PVLDB 2010»
13 years 7 months ago
Database-support for Continuous Prediction Queries over Streaming Data
Prediction is emerging as an essential ingredient for real-time monitoring, planning and decision support applications such as intrusion detection, e-commerce pricing and automate...
Mert Akdere, Ugur Çetintemel, Eli Upfal