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» Mining time-changing data streams
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IDEAS
2007
IEEE
128views Database» more  IDEAS 2007»
14 years 1 months ago
Streaming Random Forests
Many recent applications deal with data streams, conceptually endless sequences of data records, often arriving at high flow rates. Standard data-mining techniques typically assu...
Hanady Abdulsalam, David B. Skillicorn, Patrick Ma...
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
14 years 8 months ago
Streaming feature selection using alpha-investing
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
ICDM
2007
IEEE
254views Data Mining» more  ICDM 2007»
14 years 1 months ago
Sampling for Sequential Pattern Mining: From Static Databases to Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery. Recently, with the constant progress in hardware technologies, real-world databases tend to gro...
Chedy Raïssi, Pascal Poncelet
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 10 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
CIDR
2011
266views Algorithms» more  CIDR 2011»
12 years 11 months ago
Consistency in a Stream Warehouse
A stream warehouse is a Data Stream Management System (DSMS) that stores a very long history, e.g. years or decades; or equivalently a data warehouse that is continuously loaded. ...
Lukasz Golab, Theodore Johnson