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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 5 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
FORTE
1997
15 years 6 months ago
Implementation of Distributed Systems described with LOTOS Multi-rendezvous on Bus Topology Networks
In this paper, we propose an implementation method for specifications of distributed systems described in a subclass of LOTOS where operators such as choice and disabling can be ...
Keiichi Yasumoto, Kazuhiro Gotoh, Hiroki Tatsumoto...
ICIP
2008
IEEE
16 years 6 months ago
A video Time Encoding Machine
Time encoding is a real-time asynchronus mechanism of mapping analog amplitude information into multidimensional time sequences. We investigate the exact representation of analog ...
Aurel A. Lazar, Eftychios A. Pnevmatikakis
COLCOM
2008
IEEE
15 years 6 months ago
Towards Continuous Workflow Enactment Systems
Abstract. Traditional workflow enactment systems and workflow design processes view the workflow as a one-time interaction with the various data sources, executing a series of step...
Panayiotis Neophytou, Panos K. Chrysanthis, Alexan...
EMNLP
2009
15 years 2 months ago
Stream-based Randomised Language Models for SMT
Randomised techniques allow very big language models to be represented succinctly. However, being batch-based they are unsuitable for modelling an unbounded stream of language whi...
Abby Levenberg, Miles Osborne