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» Modeling skew in data streams
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ICDE
2008
IEEE
135views Database» more  ICDE 2008»
14 years 11 months ago
Online Filtering, Smoothing and Probabilistic Modeling of Streaming data
In this paper, we address the problem of extending a relational database system to facilitate efficient real-time application of dynamic probabilistic models to streaming data. he ...
Bhargav Kanagal, Amol Deshpande
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
14 years 10 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...
VLDB
2003
ACM
172views Database» more  VLDB 2003»
14 years 10 months ago
Aurora: a new model and architecture for data stream management
This paper describes the basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications. Monitoring applications differ substant...
Daniel J. Abadi, Donald Carney, Ugur Çetintemel, ...
EDBT
2008
ACM
171views Database» more  EDBT 2008»
14 years 10 months ago
Replay-based approaches to revision processing in stream query engines
Data stream processing systems have become ubiquitous in academic and commercial sectors, with application areas that include financial services, network traffic analysis, battlef...
Anurag Maskey, Mitch Cherniack
ADMA
2007
Springer
133views Data Mining» more  ADMA 2007»
14 years 4 months ago
Clustering Massive Text Data Streams by Semantic Smoothing Model
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu