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» Evaluating algorithms that learn from data streams
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DRR
2004
15 years 9 months ago
Style-independent document labeling: design and performance evaluation
The Medical Article Records System or MARS has been developed at the U.S. National Library of Medicine (NLM) for automated data entry of bibliographical information from medical j...
Song Mao, Jongwoo Kim, George R. Thoma
ISCI
2008
166views more  ISCI 2008»
15 years 6 months ago
A discretization algorithm based on Class-Attribute Contingency Coefficient
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
GI
2009
Springer
15 years 4 months ago
Test your Strategy - Intuitive Strategy Definition and Evaluation for Novices and Experts
: ConnectIT uses a graphical representation to express strategies for playing the connect-four game. With this tool we can transfer complex knowledge about the connect-four game it...
Sven Jörges, Marco Bakera, Tiziana Margaria, ...
ECML
1997
Springer
15 years 10 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
JCST
2010
153views more  JCST 2010»
15 years 1 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger