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ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 11 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 9 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
15 years 11 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
DIS
2010
Springer
15 years 3 months ago
Mining Class-Correlated Patterns for Sequence Labeling
Sequence labeling is the task of assigning a label sequence to an observation sequence. Since many methods to solve this problem depend on the specification of predictive features...
Thomas Hopf, Stefan Kramer
SAC
2008
ACM
15 years 4 months ago
Frequent pattern mining for kernel trace data
Operating systems engineers have developed tracing tools that log details about process execution at the kernel level. These tools make it easier to understand the actual executio...
Christopher LaRosa, Li Xiong, Ken Mandelberg