Geographical information and digital maps are integrated in many ways into our every-day life through various GIS solutions. Screen maps and map interfaces should be easyto-use for...
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
In this report, we provide a summary1 of the First Int'l VLDB Workshop on Clean Databases (CleanDB 2006), which took place at Seoul, Korea, on September 11, 2006, in conjunct...