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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 7 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 7 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 7 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
POPL
2005
ACM
16 years 7 months ago
Downgrading policies and relaxed noninterference
In traditional information-flow type systems, the security policy is often formalized as noninterference properties. However, noninterference alone is too strong to express securi...
Peng Li, Steve Zdancewic
POPL
2003
ACM
16 years 7 months ago
Guarded recursive datatype constructors
We introduce a notion of guarded recursive (g.r.) datatype constructors, generalizing the notion of recursive datatypes in functional programming languages such as ML and Haskell....
Hongwei Xi, Chiyan Chen, Gang Chen
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