Solving similarity joins and range queries in metric spaces with the list of twin clusters-Reference-Cited by-同舟云学术

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Solving similarity joins and range queries in metric spaces with the list of twin clusters

Published:2009-03 Issue:1 Volume:7 Page:18-35
ISSN:1570-8667
Container-title:Journal of Discrete Algorithms
language:en
Short-container-title:Journal of Discrete Algorithms

Author:

Paredes Rodrigo,Reyes Nora

Publisher

Elsevier BV

Subject

Computational Theory and Mathematics,Discrete Mathematics and Combinatorics,Theoretical Computer Science

Reference51 articles.

1. Approximate k-closest-pairs with space filling curves;Angiulli,2002

2. An approximate algorithm for top-k closest pairs join query in large high dimensional data;Angiulli;Data & Knowledge Engineering,2005

3. Searching: An algorithmic tour;Baeza-Yates,1997

4. Proximity matching using fixed-queries trees;Baeza-Yates,1994

5. Modern Information Retrieval;Baeza-Yates,1999

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Similarity joins and clustering for SPARQL;Semantic Web;2024-03-06

2. PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search;The VLDB Journal;2021-07-03

3. Extending SPARQL with Similarity Joins;Lecture Notes in Computer Science;2020

4. Cloud-Based K-Closest Pairs Discovery in Dynamic Cyber-Physical-Social Systems;IEEE Access;2020

5. Cache-oblivious High-performance Similarity Join;Proceedings of the 2019 International Conference on Management of Data;2019-06-25

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