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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 7 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
RTSS
2009
IEEE
14 years 2 months ago
Integrating Proactive and Reactive Approaches for Robust Real-Time Data Services
— Real-time data services are needed in data-intensive real-time applications such as e-commerce or traffic control. However, it is challenging to support real-time data service...
Yan Zhou, Kyoung-Don Kang
ICAC
2008
IEEE
14 years 1 months ago
CARVE: A Cognitive Agent for Resource Value Estimation
Recently, industry has begun investigating and moving towards utility computing, where computational resources (processing, memory and I/O) are availably on demand at a market cos...
Jonathan Wildstrom, Peter Stone, Emmett Witchel
DATAMINE
2002
125views more  DATAMINE 2002»
13 years 7 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
KES
2007
Springer
13 years 7 months ago
KeyGraph-based chance discovery for mobile contents management system
Chance discovery provides a way to find rare but very important events for future decision making. It can be applied to stock market prediction, earthquake alarm, intrusion detect...
Kyung-Joong Kim, Myung-Chul Jung, Sung-Bae Cho