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» Distance Functions to Detect Changes in Data Streams
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SSDBM
2003
IEEE
137views Database» more  SSDBM 2003»
14 years 21 days ago
Supporting Sliding Window Queries for Continuous Data Streams
Although traditional databases and data warehouses have been exploited widely to manage persistent data, a large number of applications from sensor network need functional support...
Lin Qiao, Divyakant Agrawal, Amr El Abbadi
ICAC
2006
IEEE
14 years 1 months ago
Enabling Self-Managing Applications using Model-based Online Control Strategies
— The increasing heterogeneity, dynamism, and uncertainty of emerging DCE (Distributed Computing Environment) systems imply that an application must be able to detect and adapt t...
Viraj Bhat, Manish Parashar, Hua Liu, Mohit Khande...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 11 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
ICMCS
2008
IEEE
151views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Fast keyword detection with sparse time-frequency models
We address the problem of keyword spotting in continuous speech streams when training and testing conditions can be different. We propose a keyword spotting algorithm based on spa...
Effrosini Kokiopoulou, Pascal Frossard, Olivier Ve...
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
14 years 1 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...