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KDD
1998
ACM
160views Data Mining» more  KDD 1998»
15 years 2 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
SIGMOD
2009
ACM
250views Database» more  SIGMOD 2009»
15 years 10 months ago
MayBMS: a probabilistic database management system
MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept ...
Jiewen Huang, Lyublena Antova, Christoph Koch, Dan...
EMSOFT
2004
Springer
15 years 3 months ago
Scheduling within temporal partitions: response-time analysis and server design
As the bandwidth of CPUs and networks continues to grow, it becomes more attractive, for efficiency reasons, to share such resources among several applications with the minimum le...
Luís Almeida, Paulo Pedreiras
DBPL
1989
Springer
165views Database» more  DBPL 1989»
15 years 2 months ago
Support for Data-Intensive Applications: Conceptual Design and Software Development
In the process of developing an Information System, one passes through stages that include requirements gathering, design specification, and software implementation. The purpose ...
Alexander Borgida, John Mylopoulos, Joachim W. Sch...
KBSE
2005
IEEE
15 years 3 months ago
Automated test generation for engineering applications
In test generation based on model-checking, white-box test criteria are represented as trap conditions written in a temporal logic. A model checker is used to refute trap conditio...
Songtao Xia, Ben Di Vito, César Muño...