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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
14 years 9 months ago
Extracting redundancy-aware top-k patterns
Observed in many applications, there is a potential need of extracting a small set of frequent patterns having not only high significance but also low redundancy. The significance...
Dong Xin, Hong Cheng, Xifeng Yan, Jiawei Han
AOSD
2010
ACM
14 years 4 months ago
Tracking code patterns over multiple software versions with Herodotos
An important element of understanding a software code base is to identify the repetitive patterns of code it contains and how these evolve over time. Some patterns are useful to t...
Nicolas Palix, Julia L. Lawall, Gilles Muller
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
14 years 2 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 6 months ago
Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets.
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
Wei Ding 0003, Tomasz F. Stepinski, Josue Salazar
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 2 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