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KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 6 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
ICDM
2009
IEEE
155views Data Mining» more  ICDM 2009»
16 years 1 months ago
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering solutions) has been an important and long standing researc...
Qingbao Liu, Guozhu Dong
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
16 years 24 days ago
Disk Aware Discord Discovery: Finding Unusual Time Series in Terabyte Sized Datasets
The problem of finding unusual time series has recently attracted much attention, and several promising methods are now in the literature. However, virtually all proposed methods...
Dragomir Yankov, Eamonn J. Keogh, Umaa Rebbapragad...
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
16 years 20 days ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
16 years 15 days ago
Automatic Construction of N-ary Tree Based Taxonomies
Hierarchies are an intuitive and effective organization paradigm for data. Of late there has been considerable research on automatically learning hierarchical organizations of dat...
Kunal Punera, Suju Rajan, Joydeep Ghosh