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ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
15 years 7 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 6 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 8 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 days 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
IADIS
2008
15 years 3 months ago
KDD, SEMMA and CRISP-DM: a parallel overview
In the last years there has been a huge growth and consolidation of the Data Mining field. Some efforts are being done that seek the establishment of standards in the area. Includ...
Ana Azevedo, Manuel Filipe Santos