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Spatio-textual similarity joins [PDF]
Proceedings of the VLDB Endowment, 2012 Given a collection of objects that carry both spatial and textual information, a spatio-textual similarity join retrieves the pairs of objects that are spatially close and textually similar. As an example, consider a social network with spatially and textually tagged persons (i.e., their locations and profiles).
Panagiotis Bouros +2 more
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Biomedicines, 2023 The gastrointestinal tract can be heavily infected by SARS-CoV-2. Being an auto-immunogenic virus, SARS-CoV-2 represents an environmental factor that might play a role in gut-associated autoimmune diseases.
Aaron Lerner +2 more
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Projection Based Large Scale High-Dimensional Data Similarity Join Using MapReduce Framework
IEEE Access, 2020 Similarity join has been widely used in many data analysis and data mining applications, we mainly focus on the scalability and performance problem of similarity join query on massive high-dimensional data set.
Youzhong Ma +3 more
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Citizen Science: Theory and Practice, 2022 Traditionally, citizen science has centred on giving lay people opportunities to learn about science by participating in it. Lately, psychological citizen science projects have increasingly aimed to attract participants by providing an opportunity for ...
Anna Rudnicka, Sandy Gould, Anna Cox
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Similarity Join Queries: Techniques and Optimizations
, 2023 In this thesis we are going to propose efficient algorithms and data structures to handle similarity join queries over any number of constant relations in the dynamic setting with delay guarantees.
Simone Zanella (6526859)
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Heterogeneous CPU-GPU Epsilon Grid Joins: Static and Dynamic Work Partitioning Strategies
Data Science and Engineering, 2020 Given two datasets (or tables) A and B and a search distance $$\epsilon$$ ϵ , the distance similarity join, denoted as $$A \ltimes _\epsilon B$$ A ⋉ ϵ B , finds the pairs of points ( $$p_a$$ p a , $$p_b$$ p b ), where $$p_a \in A$$ p a ∈ A and $$p_b \in ...
Benoit Gallet, Michael Gowanlock
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Diversity Similarity Join for Big Data
, 2023 The Similarity Join (SJ) has become one of the most popular and valuable data processing operators in analyzing large amounts of data. Various types of similarity join operators have been effectively used in multiple scenarios.
Castro Cea, Pedro +4 more
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Effective early termination techniques for text similarity join operator [PDF]
, 2005 Conference name: 20th International SymposiumDate of Conference: 26-28 October 2005Text similarity join operator joins two relations if their join attributes are textually similar to each other, and it has a variety of application domains including ...
Özalp, S. A. +3 more
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Metric space similarity joins [PDF]
ACM Transactions on Database Systems, 2008 Similarity join algorithms find pairs of objects that lie within a certain distance ϵ of each other. Algorithms that are adapted from spatial join techniques are designed primarily for data in a vector space and often employ some form of a multidimensional index.
Edwin H. Jacox, Hanan Samet
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Probabilistic similarity join on uncertain data [PDF]
, 2006 . An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the new set contains pairs of objects of the two original sets.
Matthias Renz +3 more
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