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SDM
2012
SIAM
293views Data Mining» more  SDM 2012»
13 years 6 months ago
RP-growth: Top-k Mining of Relevant Patterns with Minimum Support Raising
One practical inconvenience in frequent pattern mining is that it often yields a flood of common or uninformative patterns, and thus we should carefully adjust the minimum suppor...
Yoshitaka Kameya, Taisuke Sato
ICDM
2008
IEEE
135views Data Mining» more  ICDM 2008»
15 years 11 months ago
A Data Stream Mining System
On-line data stream mining has attracted much research interest, but systems that can be used as a workbench for online mining have not been researched, since they pose many dif...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 6 months ago
Mining event periodicity from incomplete observations
Advanced technology in GPS and sensors enables us to track physical events, such as human movements and facility usage. Periodicity analysis from the recorded data is an important...
Zhenhui Li, Jingjing Wang, Jiawei Han
EVOW
2005
Springer
15 years 10 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
ICUMT
2009
15 years 2 months ago
A scalable based multicast model for P2P Conferencing applications
Multicast conferencing is a rapidly-growing area of Internet use. Audio, video and other media such as shared whiteboard data can be distributed efficiently between groups of confe...
Mourad Amad, Zahir Haddad, Lachemi Khenous, Kamal ...