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» Optimizing Large Join Queries in Mediation Systems
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XSYM
2004
Springer
88views Database» more  XSYM 2004»
14 years 29 days ago
Teaching Relational Optimizers About XML Processing
Due to their numerous benefits, relational systems play a major role in storing XML documents. XML also benefits relational systems by providing a means to publish legacy relatio...
Sihem Amer-Yahia, Yannis Kotidis, Divesh Srivastav...
PVLDB
2010
122views more  PVLDB 2010»
13 years 6 months ago
On Graph Query Optimization in Large Networks
The dramatic proliferation of sophisticated networks has resulted in a growing need for supporting effective querying and mining methods over such large-scale graph-structured da...
Peixiang Zhao, Jiawei Han
PVLDB
2010
175views more  PVLDB 2010»
13 years 6 months ago
Dynamic Join Optimization in Multi-Hop Wireless Sensor Networks
To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logi...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
EDBT
2010
ACM
185views Database» more  EDBT 2010»
14 years 2 months ago
Optimizing joins in a map-reduce environment
Implementations of map-reduce are being used to perform many operations on very large data. We examine strategies for joining several relations in the map-reduce environment. Our ...
Foto N. Afrati, Jeffrey D. Ullman
GIS
2007
ACM
13 years 11 months ago
Pipelined spatial join processing for quadtree-based indexes
Spatial join is an important yet costly operation in spatial databases. In order to speed up the execution of a spatial join, the input tables are often indexed based on their spa...
Walid G. Aref