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DMSN
2008
ACM
14 years 11 months ago
A substrate for in-network sensor data integration
With the ultimate goal of extending the data integration paradigm and query processing capabilities to ad hoc wireless networks, sensors, and stream systems, we consider how to su...
Svilen R. Mihaylov, Marie Jacob, Zachary G. Ives, ...
TKDE
1998
122views more  TKDE 1998»
14 years 9 months ago
The Design and Implementation of Seeded Trees: An Efficient Method for Spatial Joins
—Existing methods for spatial joins require pre-existing spatial indices or other precomputation, but such approaches are inefficient and limited in generality. Operand data sets...
Ming-Ling Lo, Chinya V. Ravishankar
DKE
2006
123views more  DKE 2006»
14 years 9 months ago
Cost models for distance joins queries using R-trees
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
TKDE
1998
142views more  TKDE 1998»
14 years 9 months ago
Performance Analysis of Three Text-Join Algorithms
—When a multidatabase system contains textual database systems (i.e., information retrieval systems), queries against the global schema of the multidatabase system may contain a ...
Weiyi Meng, Clement T. Yu, Wei Wang 0010, Naphtali...
PVLDB
2010
126views more  PVLDB 2010»
14 years 7 months ago
Set Similarity Join on Probabilistic Data
Set similarity join has played an important role in many real-world applications such as data cleaning, near duplication detection, data integration, and so on. In these applicati...
Xiang Lian, Lei Chen 0002