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» Fast data stream algorithms using associative memories
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ML
2010
ACM
142views Machine Learning» more  ML 2010»
13 years 6 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
KES
2008
Springer
13 years 6 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base
Privacy is one of the most important properties of an information system must satisfy. In which systems the need to share information among different, not trusted entities, the pro...
Mahmoud Hussein, Ashraf El-Sisi, Nabil A. Ismail
ICDE
2010
IEEE
188views Database» more  ICDE 2010»
14 years 7 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
EDBT
2009
ACM
166views Database» more  EDBT 2009»
14 years 6 days ago
Neighbor-based pattern detection for windows over streaming data
The discovery of complex patterns such as clusters, outliers, and associations from huge volumes of streaming data has been recognized as critical for many domains. However, patte...
Di Yang, Elke A. Rundensteiner, Matthew O. Ward
ICDE
2007
IEEE
103views Database» more  ICDE 2007»
14 years 9 months ago
TCAM-conscious Algorithms for Data Streams
Recently, there has been significant interest in developing space and time efficient solutions for answering continuous summarization queries over data streams. While these techni...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...