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Similarity Joins

A Wider Concept for Similarity Joins

A Wider Concept for Similarity Joins

... by similarity. Join operators based on similarity comparison operators are called “similarity ...exist similarity joins that can be executed directly as a similarity selection ...

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Similarity Joins on Item Set Collections Using Zero-Suppressed Binary Decision Diagrams

Similarity Joins on Item Set Collections Using Zero-Suppressed Binary Decision Diagrams

... Abstract. Similarity joins between two collections of item sets have recently been investigated and have attracted significant attention, es- pecially for linguistic applications such as those involving ...

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Fast Parallel Set Similarity Joins on Many-core Architectures

Fast Parallel Set Similarity Joins on Many-core Architectures

... To address the challenge of efficiently processing set similarity joins, we can exploit parallelism and take advantage of modern architectures with multiple cores. The multi-core trend affected not only ...

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Scaling Similarity Joins over Tree-Structured Data

Scaling Similarity Joins over Tree-Structured Data

... the similarity between ...state-of-the-art similarity measure for tree-structured objects [18, ...isting similarity measures for rooted ordered labeled ...

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Top-k Set Similarity Joins

Top-k Set Similarity Joins

... answering similarity join queries to retrieve top- k pairs of records ranked by their ...traditional similarity joins with a given threshold will have to make guesses on the similarity ...

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Towards a unified framework for string similarity joins

Towards a unified framework for string similarity joins

... new similarity framework that unifies the exist- ing three kinds of similarity measures simultaneously, including syntactic (typographic) similarity, synonym-based similarity, and ...

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A Framework for XML Similarity Joins

A Framework for XML Similarity Joins

... There are two main query processing models for set similarity joins. The first one uses an unnested representation of sets in which each set element is represented to- gether with the corresponding object ...

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Improving the performance of similarity joins using graphics processing unit

Improving the performance of similarity joins using graphics processing unit

... The similarity join is an important operation in data mining and it is used in many applications from varying ...A similarity join operator takes one or two sets of data points and outputs pairs of points ...

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Privacy-Preserving Over Encrypted Data using Similarity Joins

Privacy-Preserving Over Encrypted Data using Similarity Joins

... the similarity join over encrypted data,we proposed a new ...privacy-preserving similarity join queries, i.e., a pivotal primitive of similarity search that finds pair-wise similar data points across ...

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Data Integration Using Similarity Joins and a Word-Based Information Representation Language

Data Integration Using Similarity Joins and a Word-Based Information Representation Language

... In the experiments, we used the secondary key as a “gold standard”; however, in some of the domains, the matching procedure for the secondary keys is somewhat error prone. This is especially true for Web sites used as ...

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A Novel Approach on Similarity Search and Similarity Joins by Metric Indexing

A Novel Approach on Similarity Search and Similarity Joins by Metric Indexing

... A string closeness join discovers every single comparative match bet this project two accumulations of strings. It is a fundamental operation in numerous applications, for example, information incorporation and cleaning, ...

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Efficient Similarity Joins for Near Duplicate Detection

Efficient Similarity Joins for Near Duplicate Detection

... 1+t · (|x| + |y|)⌉ (Equation (1)). The main problem of this approach is that the inverted lists of some tokens, often known as “stop words”, can be very long. These long inverted lists incur significant overhead for ...

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Self similarity wide-joins for near-duplicate image detection

Self similarity wide-joins for near-duplicate image detection

... namely similarity joins and wide-joins, can also be employed to detect near-duplicates ...[2][5]. Similarity joins obtain el- ement pairs that are similar up to a maximum threshold, ...

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Load Balancing and Skew Resilience for Parallel Joins

Load Balancing and Skew Resilience for Parallel Joins

... Joins are defined in a spectrum of cost distribution. At each end, either input or output costs dominate the join cost. Previous work, that is, CS I and CI, perform well only at the extreme ends of the ...

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Distributed Evaluation of Top-k Temporal Joins

Distributed Evaluation of Top-k Temporal Joins

... parallel top-k processing. RanKloud [4] computes data statis- tics to retrieve an estimation of the kth join score. Then, only the part of input data whose score is above the esti- mated one is uniformly distributed and ...

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Joining Tables. How SQL Joins Tables

Joining Tables. How SQL Joins Tables

... To use an alias, in the FROM clause simply follow the real table name with a space and the alias you want to use. Optionally, you can place the word AS between the real table name and the alias, just as you do with ...

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Hash joins and hash teams in Microsoft

Hash joins and hash teams in Microsoft

... A partitioning step is a general term that can be either the initial step that consumes the hash operation’s inputs or an overflow resolution step that consumes[r] ...

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Breaking. joins the Formland august 2015

Breaking. joins the Formland august 2015

... • The EXPo nEWS name will remain unchanged and – within its own exhibit area – the fair will be incorporated with formland under the title BrandInG EXPo nEWS!. • EXPo nEWS will [r] ...

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On defining the behavior of OR-joins in business process models

On defining the behavior of OR-joins in business process models

... A major problem for reliable software-based system development is to guarantee that the system does what it is supposed to do. This holds also for computer-assisted enterprise information and management systems, where IT ...

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AdaptDB: Adaptive Partitioning for Distributed Joins

AdaptDB: Adaptive Partitioning for Distributed Joins

... co-partitioned joins can be almost 2 times faster than shuffle joins (here we are joining lineitem and orders tables from TPC-H, a popular decision support bench- mark, at scale-factor 1000 in Spark [24] on ...

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