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Quicker Similarity Joins in Metric Spaces

2013
We consider the join operation in metric spaces. Given two sets A and B of objects drawn from some universe $\mathbb U$ , we want to compute the set $A \Join B = \{a,b \in A \times B\;|\;da,b \leq r\}$ efficiently, where $d : \mathbb U \times \mathbb U \to \mathbb R^+$ is a metric distance function and r∈ℝ+ is user supplied query ...
Braithwaite Billy, Fredriksson Kimmo
openaire   +1 more source

An Efficient Similarity Join Algorithm with Cosine Similarity Predicate

2010
Given a large collection of objects, finding all pairs of similar objects, namely similarity join, is widely used to solve various problems in many application domains.Computation time of similarity join is critical issue, since similarity join requires computing similarity values for all possible pairs of objects.
Dongjoo Lee   +3 more
openaire   +1 more source

Parallelizing String Similarity Join Algorithms

2018
A key operation in data cleaning and integration is the use of string similarity join (SSJ) algorithms to identify and remove duplicates or similar records within data sets. With the advent of big data, a natural question is how to parallelize SSJ algorithms.
Ling-Chih Yao, Lipyeow Lim
openaire   +1 more source

String Similarity Join with Different Thresholds

2015
String similarity join is an essential operation of many applications that need to find all similar string pairs from given two collections. The existing approaches are using the uniform and predefined similarity thresholds. While in real applications, regarding that the longer string pairs typically tolerate many more typos, it is necessary to apply ...
Chuitian Rong, Xiangling Zhang
openaire   +1 more source

GPU Acceleration of Set Similarity Joins

2015
We propose a scheme of efficient set similarity joins on Graphics Processing Units GPUs. Due to the rapid growth and diversification of data, there is an increasing demand for fast execution of set similarity joins in applications that vary from data integration to plagiarism detection.
Mateus S. H. Cruz   +3 more
openaire   +1 more source

A distributed framework for large-scale semantic trajectory similarity join

Multimedia Tools and Applications, 2023
Ruijie Tian, Weishi Zhang, Li Jiajun
exaly  

Dynamic Set Similarity Join: An Update Log Based Approach

IEEE Transactions on Knowledge and Data Engineering, 2023
Chengcheng Yang, Lisi Chen, Hao Wang
exaly  

Parallel set similarity join on big data based on Locality-Sensitive Hashing

Science of Computer Programming, 2017
Mohammad Karim Sohrabi
exaly  

Top-k Similarity Join in Heterogeneous Information Networks

IEEE Transactions on Knowledge and Data Engineering, 2015
Yun Xiong, Yangyong Zhu, Philip S Yu
exaly  

Extending string similarity join to tolerant fuzzy token matching

ACM Transactions on Database Systems, 2014
Jiannan Wang, Guoliang Li, Liguoliang
exaly  

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