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» T-Time: Threshold-Based Data Mining on Time Series
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COMPSAC
2004
IEEE
13 years 11 months ago
Efficient Partial Multiple Periodic Patterns Mining without Redundant Rules
Partial periodic patterns mining is a very interesting domain in data mining problem. In the previous studies, full and partial multiple periodic patterns mining problems are cons...
Wenpo Yang, Guanling Lee
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 6 days ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
DASFAA
2006
IEEE
136views Database» more  DASFAA 2006»
14 years 1 months ago
Mining Outliers in Spatial Networks
Outlier analysis is an important task in data mining and has attracted much attention in both research and applications. Previous work on outlier detection involves different type...
Wen Jin, Yuelong Jiang, Weining Qian, Anthony K. H...
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
ASC
2008
13 years 7 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...