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» Modeling skew in data streams
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 10 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
EDBTW
2006
Springer
14 years 1 months ago
Spatio-temporal Aggregates over Streaming Geospatial Image Data
Geospatial image data obtained by satellites and aircraft are increasingly important to a wide range of applications, such as disaster management, climatology, and environmental m...
Jie Zhang
DATE
2000
IEEE
121views Hardware» more  DATE 2000»
14 years 2 months ago
Composite Signal Flow: A Computational Model Combining Events, Sampled Streams, and Vectors
The composite signal flow model of computation targets systems with significant control and data processing parts. It builds on the data flow and synchronous data flow models ...
Axel Jantsch, Per Bjuréus
ICDE
2009
IEEE
178views Database» more  ICDE 2009»
13 years 7 months ago
Efficient Query Evaluation over Temporally Correlated Probabilistic Streams
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
Bhargav Kanagal, Amol Deshpande
EDBT
2009
ACM
173views Database» more  EDBT 2009»
14 years 2 months ago
PROUD: a probabilistic approach to processing similarity queries over uncertain data streams
We present PROUD - A PRObabilistic approach to processing similarity queries over Uncertain Data streams, where the data streams here are mainly time series streams. In contrast t...
Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan C...