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PVLDB
2010
95views more  PVLDB 2010»
13 years 5 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang
EDBT
2009
ACM
156views Database» more  EDBT 2009»
14 years 4 days ago
Secondary bitmap indexes with vertical and horizontal partitioning
Traditional bitmap indexes are utilized as a special type of primary or clustered indexes where the queries are answered by performing fast logical operations supported by hardwar...
Guadalupe Canahuate, Tan Apaydin, Ahmet Sacan, Hak...
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 7 months ago
Fast Data Anonymization with Low Information Loss
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
VLDB
2004
ACM
100views Database» more  VLDB 2004»
14 years 25 days ago
Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems
We consider the problem of horizontally partitioning a dynamic relation across a large number of disks/nodes by the use of range partitioning. Such partitioning is often desirable...
Prasanna Ganesan, Mayank Bawa, Hector Garcia-Molin...
ICDE
2012
IEEE
277views Database» more  ICDE 2012»
11 years 10 months ago
Lookup Tables: Fine-Grained Partitioning for Distributed Databases
—The standard way to scale a distributed OLTP DBMS is to horizontally partition data across several nodes. Ideally, this results in each query/transaction being executed at just ...
Aubrey Tatarowicz, Carlo Curino, Evan P. C. Jones,...