Many emerging applications such as wide-area network management need to query large, structured, highly distributed datasets. Seaweed is a distributed scalable infrastructure for ...
Richard Mortier, Dushyanth Narayanan, Austin Donne...
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Structured P2P systems in the form of distributed hash tables (DHT) are a promising approach for building massively distributed data management platforms. However, for many applic...
We study the problem of answering spatial queries in databases where objects exist with some uncertainty and they are associated with an existential probability. The goal of a thre...
Xiangyuan Dai, Man Lung Yiu, Nikos Mamoulis, Yufei...
ing spatio-temporal data as abstract data types into already existing data models is a promising approach to creating spatio-temporal query languages. In this context, an importan...