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» Adaptive Learning from Evolving Data Streams
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ICDM
2010
IEEE
199views Data Mining» more  ICDM 2010»
13 years 5 months ago
Addressing Concept-Evolution in Concept-Drifting Data Streams
Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
14 years 1 months ago
Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping
The problem of record linkage focuses on determining whether two object descriptions refer to the same underlying entity. Addressing this problem effectively has many practical ap...
Mikhail Bilenko, Sugato Basu, Mehran Sahami
SAC
2005
ACM
14 years 29 days ago
Learning decision trees from dynamic data streams
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
João Gama, Pedro Medas, Pedro Pereira Rodri...
SAC
2005
ACM
14 years 29 days ago
Incremental rule learning based on example nearness from numerical data streams
Francisco J. Ferrer-Troyano, Jesús S. Aguil...
JNCA
2007
136views more  JNCA 2007»
13 years 7 months ago
Adaptive anomaly detection with evolving connectionist systems
Anomaly detection holds great potential for detecting previously unknown attacks. In order to be effective in a practical environment, anomaly detection systems have to be capable...
Yihua Liao, V. Rao Vemuri, Alejandro Pasos