Approximate query processing has emerged as a cost-effective approach for dealing with
the huge data volumes and stringent response-time requirements of today's decision …

Strict consistency of replicated data is infeasible or not required by many distributed
applications, so current systems often permit stale replication, in which cached copies of …

Extraction of interesting and general knowledge from large spatial databases is an important
task in the development of spatial data-and knowledge-base systems. In this paper, we …

Data mining is the discovery of knowledge and useful information from the large amounts of
data stored in databases. With the increasing popularity of object-oriented database systems …

Abstract This paper studies Data Stream Management Systems that combine real-time data
streams with historical data, and hence access incoming streams and archived data …

Modern decision support systems require very quick (interactive) responses from the DBMS,
but pose complex queries on large volumes of data. In this paper, we present a novel …

Support for complex data in object-relational database systems is based on abstract data
types (ADTs). We argue that the current ADT approach inhibits the performance of queries …

There is a massive increase of information available on electronic networks. This profusion
of resources on the World-Wide Web gave rise to considerable interest in the research …

Abstract Knowledge discovery in databases (or data mining), which extracts interesting
knowledge from large databases, represents an important direction in the development of …

This is an evolving bibliography of documents on uncertainty and imprecision in information
systems. By uncertainty and imprecision, we mean the representation of and query support …