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...
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...
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, ...
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...
—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,...