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» A Cost Model for Similarity Queries in Metric Spaces
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PODS
1998
ACM
152views Database» more  PODS 1998»
13 years 9 months ago
A Cost Model for Similarity Queries in Metric Spaces
We consider the problem of estimating CPU (distance computations) and I/O costs for processing range and k-nearest neighbors queries over metric spaces. Unlike the specific case ...
Paolo Ciaccia, Marco Patella, Pavel Zezula
ADC
1999
Springer
68views Database» more  ADC 1999»
13 years 9 months ago
A Query-sensitive Cost Model for Similarity Queries with M-tree
We introduce a cost model for the M-tree access method [Ciaccia et al., 1997] which provides estimates of CPU (distance computations) and I/O costs for the execution of similarity ...
Paolo Ciaccia, A. Nanni, Marco Patella
VLDB
2007
ACM
169views Database» more  VLDB 2007»
14 years 5 months ago
Peer-to-Peer Similarity Search in Metric Spaces
This paper addresses the efficient processing of similarity queries in metric spaces, where data is horizontally distributed across a P2P network. The proposed approach does not r...
Christos Doulkeridis, Akrivi Vlachou, Yannis Kotid...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
13 years 11 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
DEXA
2009
Springer
222views Database» more  DEXA 2009»
13 years 11 months ago
On Index-Free Similarity Search in Metric Spaces
Metric access methods (MAMs) serve as a tool for speeding similarity queries. However, all MAMs developed so far are index-based; they need to build an index on a given database. T...
Tomás Skopal, Benjamin Bustos