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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
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 7 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
16 years 7 months ago
Weighted Association Rule Mining using weighted support and significance framework
We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Feng Tao, Fionn Murtagh, Mohsen Farid
CHI
2007
ACM
16 years 7 months ago
Modeling the impact of shared visual information on collaborative reference
A number of recent studies have demonstrated that groups benefit considerably from access to shared visual information. This is due, in part, to the communicative efficiencies pro...
Darren Gergle, Carolyn Penstein Rosé, Rober...