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» Distance Functions to Detect Changes in Data Streams
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CIKM
2009
Springer
14 years 1 months ago
Mining frequent itemsets in time-varying data streams
Mining frequent itemsets in data streams is beneficial to many real-world applications but is also a challenging task since data streams are unbounded and have high arrival rates...
Yingying Tao, M. Tamer Özsu
IPPS
2000
IEEE
13 years 11 months ago
ACDS: Adapting Computational Data Streams for High Performance
Data-intensive, interactive applications are an important class of metacomputing (Grid) applications. They are characterized by large, time-varying data flows between data provid...
Carsten Isert, Karsten Schwan
DAGSTUHL
2007
13 years 8 months ago
An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
Susan Darling Urban, Suzanne W. Dietrich, Yi Chen
HICSS
2006
IEEE
127views Biometrics» more  HICSS 2006»
14 years 1 months ago
Processing of Data Streams with Prediction Functions
Networks of sensors arise naturally in many different fields, from industrial applications (e.g., monitoring of environmental parameters in a chemical plant) to surveillance appl...
Sergio Ilarri, Ouri Wolfson, Eduardo Mena, Arantza...
CSFW
1996
IEEE
13 years 11 months ago
An Immunological Approach to Change Detection: Theoretical Results
: This paper examines some of the theoretical foundations of the distributable change detection method introduced by Forrest et al. in [10], including fundamental bounds on some of...
Patrik D'haeseleer