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» An Iterative Method for Mining Frequent Temporal Patterns
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IGARSS
2009
13 years 6 months ago
The Quest for Automated Land Cover Change Detection using Satellite Time Series Data
This paper shows that a feedforward Multilayer Perceptron (MLP) operating over a temporal sliding window of multispectral time series MODerate-resolution Imaging Spectroradiometer...
Brian P. Salmon, Jan C. Olivier, Waldo Kleynhans, ...
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 10 months ago
MACH: Fast Randomized Tensor Decompositions
Tensors naturally model many real world processes which generate multi-aspect data. Such processes appear in many different research disciplines, e.g, chemometrics, computer visio...
Charalampos E. Tsourakakis
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
14 years 9 months ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 9 months ago
Frequent-subsequence-based prediction of outer membrane proteins
A number of medically important disease-causing bacteria (collectively called Gram-negative bacteria) are noted for the extra "outer" membrane that surrounds their cell....
Rong She, Fei Chen 0002, Ke Wang, Martin Ester, Je...
KDD
2008
ACM
165views Data Mining» more  KDD 2008»
14 years 9 months ago
Colibri: fast mining of large static and dynamic graphs
Low-rank approximations of the adjacency matrix of a graph are essential in finding patterns (such as communities) and detecting anomalies. Additionally, it is desirable to track ...
Hanghang Tong, Spiros Papadimitriou, Jimeng Sun, P...