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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 6 months ago
Local Correlation Tracking in Time Series
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...
Spiros Papadimitriou, Jimeng Sun, Philip S. Yu
110
Voted
VISSYM
2007
15 years 2 months ago
Multiscale Visualization of Dynamic Software Logs
We present a set of techniques and design principles for the visualization of large dynamic software logs consisting of attributed change events, such as obtained from instrumenti...
Sergio Moreta, Alexandru Telea
113
Voted
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
16 years 27 days ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
103
Voted
ICDM
2008
IEEE
96views Data Mining» more  ICDM 2008»
15 years 7 months ago
Filling in the Blanks - Krimp Minimisation for Missing Data
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
Jilles Vreeken, Arno Siebes
134
Voted
SSD
1995
Springer
146views Database» more  SSD 1995»
15 years 4 months ago
Discovery of Spatial Association Rules in Geographic Information Databases
Spatial data mining, i.e., discovery of interesting, implicit knowledge in spatial databases, is an important task for understanding and use of spatial data- and knowledge-bases. I...
Krzysztof Koperski, Jiawei Han