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KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 4 months ago
Suppressing model overfitting in mining concept-drifting data streams
Mining data streams of changing class distributions is important for real-time business decision support. The stream classifier must evolve to reflect the current class distributi...
Haixun Wang, Jian Yin, Jian Pei, Philip S. Yu, Jef...
173
Voted
CN
2006
163views more  CN 2006»
15 years 3 months ago
A framework for mining evolving trends in Web data streams using dynamic learning and retrospective validation
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
218
Voted
ICDE
2008
IEEE
139views Database» more  ICDE 2008»
16 years 5 months ago
Simultaneous Equation Systems for Query Processing on Continuous-Time Data Streams
We introduce Pulse, a framework for processing continuous queries over models of continuous-time data, which can compactly and accurately represent many real-world activities and p...
Jennie Rogers, Olga Papaemmanouil, Ugur Çet...
SAC
2009
ACM
15 years 10 months ago
Online annotation and prediction for regime switching data streams
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...
Gordon J. Ross, Dimitris K. Tasoulis, Niall M. Ada...
DEBS
2009
ACM
15 years 10 months ago
Processing publish/subscribe queries over distributed data streams
We address the problem of processing continuous multi-join queries, over distributed data streams, making use of existing work in the field of publish/subscribe systems. We show ...
Oana Jurca, Sebastian Michel, Alexandre Herrmann, ...