Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
XML is quickly becoming the de facto standard for data exchange over the Internet. This is creating a new set of data management requirements involving XML, such as the need to st...
Igor Tatarinov, Stratis Viglas, Kevin S. Beyer, Ja...
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
This paper considers the problem of Multi-Geography Route Planning (MGRP) where the geographical information may be spread over multiple heterogeneous interconnected maps. We firs...
Vidhya Balasubramanian, Dmitri V. Kalashnikov, Sha...