— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
The continuous intersection join query is computationally expensive yet important for various applications on moving objects. No previous study has particularly addressed this que...
Rui Zhang 0003, Dan Lin, Kotagiri Ramamohanarao, E...
: Statistics that accurately describe the distribution of data values in the columns of relational tables are essential for effective query optimization in a database management sy...
Alexander Behm, Volker Markl, Peter J. Haas, Kesha...
Semantic Query Optimisation makes use of the semantic knowledge of a database (rules) to perform query transformation. Rules are normally learned from former queries fired by the u...