Results 1 to 10 of about 304,854 (259)
Missing values compensation in duplicates detection using hot deck method
Duplicate record is a common problem within data sets especially in huge volume databases. The accuracy of duplicate detection determines the efficiency of duplicate removal process.
Abdulrazzak Ali +2 more
doaj +2 more sources
Progressive Duplicate Detection [PDF]
Duplicate detection is the process of identifying multiple representations of same real world entities. Today, duplicate detection methods need to process ever larger datasets in ever shorter time: maintaining the quality of a dataset becomes increasingly difficult.
Thorsten Papenbrock +2 more
exaly +3 more sources
Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique
Duplicate bug report detection is a process of finding a duplicate bug report in the bug tracking system. This process is essential to avoid unnecessary work and rediscovery.
Ashima Kukkar +5 more
doaj +3 more sources
Duplicate Record Detection: A Survey [PDF]
Panagiotis Ipeirotis +2 more
exaly +3 more sources
A Novel Two-Step Classification Approach for Runtime Performance Improvement of Duplicate Bug Report Detection [PDF]
Duplicate Bug Report Detection (DBRD) is one of the famous problems in software triage systems like Bugzilla. There are two main approaches to this problem, including information retrieval and machine learning.
Behzad Soleimani Neysiani +1 more
doaj +1 more source
Duplicate Detection as a Service
Completeness of a knowledge graph is an important quality dimension and factor on how well an application that makes use of it performs. Completeness can be improved by performing knowledge enrichment. Duplicate detection aims to find identity links between the instances of knowledge graphs and is a fundamental subtask of knowledge enrichment.
Juliette Opdenplatz +2 more
openaire +3 more sources
Sentence embedding and fine-tuning to automatically identify duplicate bugs
Industrial software maintenance is critical but burdensome. Activities such as detecting duplicate bug reports are often performed manually. Herein an automated duplicate bug report detection system improves maintenance efficiency using vectorization of ...
Haruna Isotani +5 more
doaj +1 more source
Duplicate detection in probabilistic data [PDF]
Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic databases, an integration of probabilistic data has to be performed. Until now, however, data integration approaches have focused on the integration of certain source data (relational ...
Fabian Panse +3 more
openaire +6 more sources
Recently, open-source repositories have grown rapidly due to volunteer contributions worldwide. Collaboration software platforms have gained popularity as thousands of external contributors have contributed to open-source repositories.
Saud S. Alotaibi
doaj +1 more source
Adaptive Windows for Duplicate Detection [PDF]
Duplicate detection is the task of identifying all groups of records within a data set that represent the same real-world entity, respectively. This task is difficult, because (i) representations might differ slightly, so some similarity measure must be defined to compare pairs of records and (ii) data sets might have a high volume making a pair-wise ...
Uwe Draisbach +3 more
openaire +3 more sources

