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71
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ICML
2010
IEEE
14 years 10 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
ICDE
2008
IEEE
498views Database» more  ICDE 2008»
16 years 9 months ago
Injector: Mining Background Knowledge for Data Anonymization
Existing work on privacy-preserving data publishing cannot satisfactorily prevent an adversary with background knowledge from learning important sensitive information. The main cha...
Tiancheng Li, Ninghui Li
75
Voted
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
15 years 10 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
HPCC
2007
Springer
15 years 3 months ago
A Data Imputation Model in Sensor Databases
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
Nan Jiang
92
Voted
NOMS
2006
IEEE
129views Communications» more  NOMS 2006»
15 years 3 months ago
A Policy-Based Hierarchical Approach for Management of Grids and Networks
Grids are distributed infrastructures that have been used as an important and powerful resource for distributed computing. Since the nodes of a grid can potentially be located in ...
Tiago Fioreze, Ricardo Neisse, Lisandro Zambenedet...