Results 251 to 260 of about 32,466 (303)

Study and Implementation of Record De-duplication Algorithms

Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016
Record de-duplication is a process of identification and removal of duplicates from the given dataset in a data warehouse environment. The term record linkage is also used in the same context, the difference between record de-duplication and record linkage is that the former is used when the duplicates are to be removed from one dataset while the later
Vaishali Wangikar, Sunil Bhirud
exaly   +2 more sources

A review of similarity measurement for record duplication detection

2017 6th International Conference on Electrical Engineering and Informatics (ICEEI), 2017
Similarity measurement is a significant process to determine the degree of similarity between two records. This paper presents a comparative analysis of important similarity measurements which are utilised for the detection of duplicated records in databases.
Kamsuriah Ahmad, Akeem Olowolayemo
exaly   +2 more sources

DUPLICATION OF THE STOMACH

Journal of the American Medical Association, 1952
Ladd and Gross1defined duplications of the alimentary tract as "... spherical or elongated hollow structures, which possess a coat of smooth muscle, which are lined by a mucous membrane, and which are intimately attached to some portion of the alimentary tube." The most comprehensive study of these lesions thus far published was made by those authors.
J, DE CASTRO BARBOSA   +4 more
openaire   +2 more sources

Detecting nearly duplicated records in location datasets

Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2010
The quality of a local search engine, such as Google and Bing Maps, heavily relies on its geographic datasets. Typically, these datasets are obtained from multiple sources, e.g., different vendors or public yellow-page websites. Therefore, the same location entity, like a restaurant, might have multiple records with slightly different presentations of ...
Yu Zheng 0004   +4 more
openaire   +1 more source

Normalization of Duplicate Records from Multiple Sources

IEEE Transactions on Knowledge and Data Engineering, 2019
Data consolidation is a challenging issue in data integration. The usefulness of data increases when it is linked and fused with other data from numerous (Web) sources. The promise of Big Data hinges upon addressing several big data integration challenges, such as record linkage at scale, real-time data fusion, and integrating Deep Web.
Yongquan Dong   +2 more
openaire   +1 more source

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