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148
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VLDB
2005
ACM
140views Database» more  VLDB 2005»
15 years 9 months ago
Loadstar: Load Shedding in Data Stream Mining
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
Yun Chi, Haixun Wang, Philip S. Yu
117
Voted
CSSE
2008
IEEE
15 years 10 months ago
Application of New Adaptive Higher Order Neural Networks in Data Mining
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
Shuxiang Xu, Ling Chen
162
Voted
AIME
2005
Springer
15 years 9 months ago
Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System
We have developed an algorithm for triaging acute pediatric abdominal pain in the Emergency Department using the discovery-driven approach. This algorithm is embedded into the MET-...
Jerzy Blaszczynski, Ken Farion, Wojtek Michalowski...
141
Voted
IPPS
2000
IEEE
15 years 7 months ago
Developing an Open Architecture for Performance Data Mining
Performance analysis of high performance systems is a difficult task. Current tools have proven successful in analysis tasks but their implementation is limited in several respects...
David B. Pierce, Diane T. Rover
152
Voted
SIGKDD
2008
159views more  SIGKDD 2008»
15 years 3 months ago
Data mining with cellular automata
A cellular automaton is a discrete, dynamical system composed of very simple, uniformly interconnected cells. Cellular automata may be seen as an extreme form of simple, localized...
Tom Fawcett