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ECIR
2010
Springer
13 years 4 months ago
Enriching Peer-to-Peer File Descriptors Using Association Rules on Query Logs
We describe a P2P association rule mining descriptor enrichment approach that statistically significantly increases accuracy by greater than 15% over the non-enriched baseline. Unl...
Nazli Goharian, Ophir Frieder, Wai Gen Yee, Jay Mu...
ISI
2005
Springer
14 years 8 days ago
Private Mining of Association Rules
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among two parti...
Justin Z. Zhan, Stan Matwin, LiWu Chang
DSS
2007
127views more  DSS 2007»
13 years 6 months ago
Large-scale regulatory network analysis from microarray data: modified Bayesian network learning and association rule mining
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
Zan Huang, Jiexun Li, Hua Su, George S. Watts, Hsi...
DASFAA
2006
IEEE
133views Database» more  DASFAA 2006»
14 years 25 days ago
Mining Spatio-temporal Association Rules, Sources, Sinks, Stationary Regions and Thoroughfares in Object Mobility Databases
Abstract. As mobile devices proliferate and networks become more locationaware, the corresponding growth in spatio-temporal data will demand analysis techniques to mine patterns th...
Florian Verhein, Sanjay Chawla
ICEB
2004
175views Business» more  ICEB 2004»
13 years 8 months ago
Privacy-Preserving Collaborative Association Rule Mining
This paper introduces a new approach to a problem of data sharing among multiple parties, without disclosing the data between the parties. Our focus is data sharing among parties i...
Justin Z. Zhan, Stan Matwin, Nathalie Japkowicz, L...