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» Confidence-Aware Join Algorithms
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133
Voted
WWW
2008
ACM
16 years 3 months ago
Efficient similarity joins for near duplicate detection
With the increasing amount of data and the need to integrate data from multiple data sources, a challenging issue is to find near duplicate records efficiently. In this paper, we ...
Chuan Xiao, Wei Wang 0011, Xuemin Lin, Jeffrey Xu ...
190
Voted
SIGMOD
2006
ACM
117views Database» more  SIGMOD 2006»
16 years 2 months ago
Database support for matching: limitations and opportunities
We define a match join of R and S with predicate to be a subset of the -join of R and S such that each tuple of R and S contributes to at most one result tuple. Match joins and t...
Ameet Kini, Srinath Shankar, Jeffrey F. Naughton, ...
104
Voted
EDBT
2010
ACM
141views Database» more  EDBT 2010»
15 years 7 months ago
Adaptive join processing in pipelined plans
In adaptive query processing, the way in which a query is evaluated is changed in the light of feedback obtained from the environment during query evaluation. Such feedback may, f...
Kwanchai Eurviriyanukul, Norman W. Paton, Alvaro A...
130
Voted
SIGMOD
2004
ACM
182views Database» more  SIGMOD 2004»
16 years 2 months ago
Efficient set joins on similarity predicates
In this paper we present an efficient, scalable and general algorithm for performing set joins on predicates involving various similarity measures like intersect size, Jaccard-coe...
Sunita Sarawagi, Alok Kirpal
GIS
2006
ACM
16 years 3 months ago
Query optimizer for spatial join operations
This paper presents a query optimizer module based on cost estimation that chooses the best filtering step algorithm to perform a specific spatial join operation. A set of express...
Cirano Iochpe, João Luiz Dihl Comba, Miguel...