Privacy becomes a more and more serious concern in applications involving microdata. Recently, efficient anonymization has attracted much research work. Most of the previous metho...
Jian Xu, Wei Wang 0009, Jian Pei, Xiaoyuan Wang, B...
Skyline queries have gained a lot of attention for multicriteria analysis in large-scale datasets. While existing skyline algorithms have focused mostly on exploiting data dominan...
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Traditionally, distributed computing problems have been solved by partitioning data into chunks able to be handled by commodity hardware. Such partitioning is not possible in case...
"The level set method is popular in the numerical implementation of curve evolution, but its high computational cost is a bottleneck for real-time applications. In this report...