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KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 6 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
16 years 7 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
DAC
1999
ACM
16 years 7 months ago
Simultaneous Circuit Partitioning/Clustering with Retiming for Performance Optimization
Partitioning and clustering are crucial steps in circuit layout for handling large scale designs enabled by the deep submicron technologies. Retiming is an important sequential lo...
Jason Cong, Honching Li, Chang Wu
SIGGRAPH
1996
ACM
15 years 10 months ago
Combining Frequency and Spatial Domain Information for Fast Interactive Image Noise Removal
Scratches on old films must be removed since these are more noticeable on higher definition and digital televisions. Wires that suspend actors or cars must be carefully erased dur...
Anil N. Hirani, Takashi Totsuka
SDM
2007
SIAM
152views Data Mining» more  SDM 2007»
15 years 7 months ago
HP2PC: Scalable Hierarchically-Distributed Peer-to-Peer Clustering
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...
Khaled M. Hammouda, Mohamed S. Kamel