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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 1 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
IPPS
2005
IEEE
14 years 2 months ago
Evaluation of Rate-Based Adaptivity in Asynchronous Data Stream Joins
Continuous query systems are an intuitive way for users to access streaming data in large-scale scientific applications containing many hundreds of streams. A challenge in these ...
Beth Plale, Nithya N. Vijayakumar
PODS
2004
ACM
147views Database» more  PODS 2004»
14 years 8 months ago
Flexible Time Management in Data Stream Systems
Continuous queries in a Data Stream Management System (DSMS) rely on time as a basis for windows on streams and for defining a consistent semantics for multiple streams and updata...
Utkarsh Srivastava, Jennifer Widom
MDM
2007
Springer
126views Communications» more  MDM 2007»
14 years 2 months ago
Semantics of Spatially-Aware Windows Over Streaming Moving Objects
Several window constructs are usually specified in continuous queries over data streams as a means of limiting the amount of data processed each time and thus providing real-time...
Kostas Patroumpas, Timos K. Sellis
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
14 years 10 months ago
Characterizing and Exploiting Reference Locality in Data Stream Applications
In this paper, we investigate a new approach to process queries in data stream applications. We show that reference locality characteristics of data streams could be exploited in ...
Feifei Li, Ching Chang, George Kollios, Azer Besta...