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» Mining evolving data streams for frequent patterns
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KDD
2012
ACM
217views Data Mining» more  KDD 2012»
13 years 5 days ago
The long and the short of it: summarising event sequences with serial episodes
An ideal outcome of pattern mining is a small set of informative patterns, containing no redundancy or noise, that identifies the key structure of the data at hand. Standard freq...
Nikolaj Tatti, Jilles Vreeken
IPPS
2008
IEEE
15 years 4 months ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
15 years 4 months ago
Online System Problem Detection by Mining Patterns of Console Logs
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
SDM
2010
SIAM
202views Data Mining» more  SDM 2010»
14 years 8 months ago
Multiresolution Motif Discovery in Time Series
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...
Nuno Castro, Paulo J. Azevedo
DCC
2008
IEEE
15 years 9 months ago
An Approach to Graph and Netlist Compression
We introduce an EDIF netlist graph algorithm which is lossy with respect to the original byte stream but lossless in terms of the circuit information it contains based on a graph ...
Jeehong Yang, Serap A. Savari, Oskar Mencer