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» Online Algorithms for Mining Semi-structured Data Stream
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CIKM
2010
Springer
15 years 16 days ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
ICMCS
2006
IEEE
91views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Detecting Changes in User-Centered Music Query Streams
In this paper, we propose an efficient algorithm, called MQSchange (changes of Music Query Streams), to detect the changes of maximal melody structures in user-centered music quer...
Hua-Fu Li, Man-Kwan Shan, Suh-Yin Lee
ATAL
2007
Springer
15 years 8 months ago
F-trade: an agent-mining symbiont for financial services
The interaction and integration of agent technology and data mining presents prominent benefits to solve some of challenging issues in individual areas. For instance, data mining ...
Longbing Cao, Chengqi Zhang
SAC
2005
ACM
15 years 7 months 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...
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 3 months ago
A RELIEF Based Feature Extraction Algorithm
RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF i...
Yijun Sun, Dapeng Wu