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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 7 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
INFOCOM
2011
IEEE
14 years 8 months ago
Describing and forecasting video access patterns
Abstract—Computer systems are increasingly driven by workloads that reflect large-scale social behavior, such as rapid changes in the popularity of media items like videos. Capa...
Gonca Gürsun, Mark Crovella, Ibrahim Matta
SIGSOFT
2005
ACM
15 years 10 months ago
Detecting higher-level similarity patterns in programs
Cloning in software systems is known to create problems during software maintenance. Several techniques have been proposed to detect the same or similar code fragments in software...
Hamid Abdul Basit, Stan Jarzabek
CIKM
2008
Springer
15 years 6 months ago
SNIF TOOL: sniffing for patterns in continuous streams
Continuous time-series sequence matching, specifically, matching a numeric live stream against a set of predefined pattern sequences, is critical for domains ranging from fire spr...
Abhishek Mukherji, Elke A. Rundensteiner, David C....
BMCBI
2010
110views more  BMCBI 2010»
15 years 5 months ago
Discovering local patterns of co - evolution: computational aspects and biological examples
Background: Co-evolution is the process in which two (or more) sets of orthologs exhibit a similar or correlative pattern of evolution. Co-evolution is a powerful way to learn abo...
Tamir Tuller, Yifat Felder, Martin Kupiec