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ICDM
2007
IEEE
301views Data Mining» more  ICDM 2007»
15 years 1 months ago
Stream Event Detection: A Unified Framework for Mining Outlier, Change and Burst Simultaneously over Data Stream
Event detection is one of the most important issues of event processing system, especially Complex Event Processing (CEP). Outlier event, change event and burst event are three ty...
Zhijian Yuan, Kai Du, Yan Jia, Jiajia Miao
ICIP
2008
IEEE
15 years 11 months ago
Kalman filtered Compressed Sensing
We consider the problem of reconstructing time sequences of spatially sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear "incohe...
Namrata Vaswani
ICTAI
2002
IEEE
15 years 2 months ago
Data Mining for Selective Visualization of Large Spatial Datasets
Data mining is the process of extracting implicit, valuable, and interesting information from large sets of data. Visualization is the process of visually exploring data for patte...
Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Ruli...
ESOA
2006
15 years 1 months ago
Dynamic Decentralized Any-Time Hierarchical Clustering
Hierarchical clustering is used widely to organize data and search for patterns. Previous algorithms assume that the body of data being clustered is fixed while the algorithm runs...
H. Van Dyke Parunak, Richard Rohwer, Theodore C. B...
MSR
2005
ACM
15 years 3 months ago
When do changes induce fixes?
As a software system evolves, programmers make changes that sometimes cause problems. We analyze CVS archives for fix-inducing changes—changes that lead to problems, indicated ...
Jacek Sliwerski, Thomas Zimmermann, Andreas Zeller