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» Similarity Join Algorithms: An Introduction
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ICDE
2011
IEEE
238views Database» more  ICDE 2011»
13 years 1 months ago
Join queries on uncertain data: Semantics and efficient processing
— Uncertain data is quite common nowadays in a variety of modern database applications. At the same time, the join operation is one of the most important but expensive operations...
Tingjian Ge
VLDB
1990
ACM
104views Database» more  VLDB 1990»
14 years 1 months ago
Hash-Based Join Algorithms for Multiprocessor Computers
This paper studies a number of hash-based join algorithms for general purpose multiprocessor computers with shared memory where the amount of memory allocated to the join operatio...
Hongjun Lu, Kian-Lee Tan, Ming-Chien Shan
COLING
2010
13 years 4 months ago
Simple and Efficient Algorithm for Approximate Dictionary Matching
This paper presents a simple and efficient algorithm for approximate dictionary matching designed for similarity measures such as cosine, Dice, Jaccard, and overlap coefficients. ...
Naoaki Okazaki, Jun-ichi Tsujii
DEXA
2006
Springer
151views Database» more  DEXA 2006»
13 years 11 months ago
An Incremental Refining Spatial Join Algorithm for Estimating Query Results in GIS
Geographic information systems (GIS) must support large georeferenced data sets. Due to the size of these data sets finding exact answers to spatial queries can be very time consum...
Wan D. Bae, Shayma Alkobaisi, Scott T. Leutenegger
DMSN
2005
ACM
13 years 11 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...