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TPA-ConvNeXt: Trigonometric Phase Attention for Robust Retinal Disease Classification Across Fundus and OCT. [PDF]
Sobahi N +3 more
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Correction to "A bHLH transcription factor, LpCbDR2, activates LpNOL to regulate senescence, heat tolerance, and crude protein content in perennial ryegrass". [PDF]
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2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2018
Duplicates arise when there are multiple representations of the same real-world entities. The process of identifying these duplicates is known as duplicate detection. Duplicates may cause a lot of problems and confusion while managing the database and thus need to be eliminated.
Nikita Medidar, Manik Chavan
exaly +3 more sources
Duplicates arise when there are multiple representations of the same real-world entities. The process of identifying these duplicates is known as duplicate detection. Duplicates may cause a lot of problems and confusion while managing the database and thus need to be eliminated.
Nikita Medidar, Manik Chavan
exaly +3 more sources
Data Preparation for Duplicate Detection
Journal of Data and Information Quality, 2020Data errors represent a major issue in most application workflows. Before any important task can take place, a certain data quality has to be guaranteed by eliminating a number of different errors that may appear in data. Typically, most of these errors are fixed with data preparation methods, such as whitespace removal.
Koumarelas, Ioannis (Dr.) +2 more
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2010
The aim of duplicate detection is to group records in a relation which refer to the same entity in the real world such as a person or business. Most existing works require user specified parameters such as similarity threshold in order to conduct duplicate detection. These methods are called user-first in this paper.
Ke Deng +4 more
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The aim of duplicate detection is to group records in a relation which refer to the same entity in the real world such as a person or business. Most existing works require user specified parameters such as similarity threshold in order to conduct duplicate detection. These methods are called user-first in this paper.
Ke Deng +4 more
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Industry-scale duplicate detection
Proceedings of the VLDB Endowment, 2008Duplicate detection is the process of identifying multiple representations of a same real-world object in a data source. Duplicate detection is a problem of critical importance in many applications, including customer relationship management, personal information management, or data mining.
Melanie Weis +4 more
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Duplicate detection in click streams
Proceedings of the 14th international conference on World Wide Web - WWW '05, 2005We consider the problem of finding duplicates in data streams. Duplicate detection in data streams is utilized in various applications including fraud detection. We develop a solution based on Bloom Filters [9], and discuss the space and time requirements for running the proposed algorithm in both the contexts of sliding, and landmark stream windows ...
Ahmed Metwally 0001 +2 more
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Duplicate code detection algorithm
Proceedings of the 16th International Conference on Computer Systems and Technologies, 2015In this paper we propose an algorithm for detecting duplicate fragments of source code based on call graphs. The complexity of the proposed algorithm is estimated and the practical performance is tested using several executions of the algorithm on three different versions of open source Ant.
Todor Cholakov, Dimitar Birov
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Detection of gene duplications and block duplications in eukaryotic genomes
Journal of Structural and Functional Genomics, 2003Several eukaryotic genomes have been completely sequenced and this provides an opportunity to investigate the extent and characteristics (e.g., single gene duplication, block duplication, etc.) of gene duplication in a genome. Detecting duplicate genes in a genome, however, is not a simple problem because of several complications such as domain ...
Wen-Hsiung, Li +3 more
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