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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
15 years 10 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
DAGSTUHL
2007
14 years 11 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
ICPP
1993
IEEE
15 years 1 months ago
Meta-State Conversion
Abstract — In MIMD (Multiple Instruction stream, Multiple Data stream) execution, each processor has its own state. Although these states are generally considered to be independe...
Henry G. Dietz, G. Krishnamurthy
CORR
2010
Springer
126views Education» more  CORR 2010»
14 years 9 months ago
Well-definedness of Streams by Transformation and Termination
Streams are infinite sequences over a given data type. A stream specification is a set of equations intended to define a stream. We propose a transformation from such a stream spec...
Hans Zantema
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
15 years 10 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha