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KDD
2003
ACM
192views Data Mining» more  KDD 2003»
14 years 6 months ago
Efficient elastic burst detection in data streams
Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
Yunyue Zhu, Dennis Shasha
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 4 days ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
13 years 11 months ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
13 years 10 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
IGARSS
2009
13 years 3 months ago
The Quest for Automated Land Cover Change Detection using Satellite Time Series Data
This paper shows that a feedforward Multilayer Perceptron (MLP) operating over a temporal sliding window of multispectral time series MODerate-resolution Imaging Spectroradiometer...
Brian P. Salmon, Jan C. Olivier, Waldo Kleynhans, ...