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» Performance Measurements for Privacy Preserving Data Mining
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KDD
2006
ACM
109views Data Mining» more  KDD 2006»
16 years 4 days 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
CIKM
2010
Springer
14 years 10 months ago
Visual cube and on-line analytical processing of images
On-Line Analytical Processing (OLAP) has shown great success in many industry applications, including sales, marketing, management, financial data analysis, etc. In this paper, w...
Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bo...
PAM
2012
Springer
13 years 7 months ago
A Sequence-Oriented Stream Warehouse Paradigm for Network Monitoring Applications
Network administrators are faced with the increasingly challenging task of monitoring their network’s health in real time, drawing upon diverse and voluminous measurement data fe...
Lukasz Golab, Theodore Johnson, Subhabrata Sen, Je...
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
NDSS
2008
IEEE
15 years 6 months ago
Analysis-Resistant Malware
Traditionally, techniques for computing on encrypted data have been proposed with privacy preserving applications in mind. Several current cryptosystems support a homomorphic oper...
John Bethencourt, Dawn Song, Brent Waters