Many systems such as Tukwila and YFilter combine automaton and algebra techniques to process queries over tokenized XML streams. Typically in this architecture, an automaton is fi...
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Data Stream Management Systems (DSMSs) must support optimized execution scheduling of multiple continuous queries on massive, and frequently bursty, data streams. Previous approac...
Database technology and the Structured Query Language (SQL) have grown enormously in recent years. Applications from different domains have different requirements for using databa...
Data management functionality is not only needed in large-scale server systems, but also in embedded systems. Resource restrictions and heterogeneity of hardware, however, complic...
Evolving database management systems (DBMS) towards more flexibility in functionality, adaptation to changing requirements, and extensions with new or different components, is a c...
Ionut Emanuel Subasu, Patrick Ziegler, Klaus R. Di...
Transactional requirements, from new application domains and execution environments, are varying and may exceed traditional ACID properties. We believe that transactional middlewa...
Anna-Brith Arntsen, Marts Mortensen, Randi Karlsen...
K-anonymisation is an approach to protecting privacy contained within a dataset. A good k-anonymisation algorithm should anonymise a dataset in such a way that private information...
In this paper we consider the on-line max and min query auditing problem: given a private association between fields in a data set, a sequence of max and min queries that have alr...