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SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
13 years 11 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 4 months ago
Finding Associations and Computing Similarity via Biased Pair Sampling
Sampling-based methods have previously been proposed for the problem of finding interesting associations in data, even for low-support items. While these methods do not guarantee ...
Andrea Campagna, Rasmus Pagh
WEBNET
2000
13 years 11 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
IJNSEC
2008
113views more  IJNSEC 2008»
13 years 10 months ago
A Fragile Associative Watermarking on 2D Barcode for Data Authentication
Two-dimensional (2D) barcode has improved the information encoded capacity, and it also has enriched the applications of barcode technique. Recently, there are researches dealing ...
Jau-Ji Shen, Po-Wei Hsu
ICMLA
2010
13 years 8 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson