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KDD
2004
ACM
207views Data Mining» more  KDD 2004»
16 years 5 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 9 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 11 months ago
A Discriminant Analysis for Undersampled Data
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
Matthew Robards, Junbin Gao, Philip Charlton
KDD
2006
ACM
208views Data Mining» more  KDD 2006»
16 years 5 months ago
Frequent subgraph mining in outerplanar graphs
In recent years there has been an increased interest in frequent pattern discovery in large databases of graph structured objects. While the frequent connected subgraph mining pro...
Tamás Horváth, Jan Ramon, Stefan Wro...
DEEC
2006
IEEE
15 years 8 months ago
A Bottom-Up Workflow Mining Approach for Workflow Applications Analysis
Abstract. Engineering workflow applications are becoming more and more complex, involving numerous interacting business objects within considerable processes. Analysing the interac...
Walid Gaaloul, Karim Baïna, Claude Godart