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» Generating Synthetic Data to Match Data Mining Patterns
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KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 4 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
PR
2008
159views more  PR 2008»
15 years 4 months ago
Feature fusion of side face and gait for video-based human identification
Video-based human recognition at a distance remains a challenging problem for the fusion of multimodal biometrics. As compared to the approach based on match score level fusion, i...
Xiaoli Zhou, Bir Bhanu
CIKM
2009
Springer
15 years 8 months ago
Efficient itemset generator discovery over a stream sliding window
Mining generator patterns has raised great research interest in recent years. The main purpose of mining itemset generators is that they can form equivalence classes together with...
Chuancong Gao, Jianyong Wang
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 10 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 10 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010