نتایج جستجو برای: record matching

تعداد نتایج: 200532  

Journal: :Journal of Computing Science and Engineering 2011

Journal: :Journal of Data and Information Quality 2014

2007
Surajit Chaudhuri Bee-Chung Chen Venkatesh Ganti Raghav Kaushik

Record matching is the task of identifying records that match the same real world entity. This is a problem of great significance for a variety of business intelligence applications. Implementations of record matching rely on exact as well as approximate string matching (e.g., edit distances) and use of external reference data sources. Record matching can be viewed as a query composed of a smal...

2003
Andrew Borthwick Martin Buechi Arthur Goldberg

We describe an innovative record matching system called ChoiceMaker 2 we developed at ChoiceMaker Technologies (CMT). Firstly, we describe the process by which we use a machine learning technique known as maximum entropy modeling to tune the system to the problem at hand. Secondly, we describe the ClueMakerTM programming language that is used to describe record matching characteristics. Thirdly...

Journal: :International Journal of Data Science and Analytics 2018

2008
Zhihua Liao Zili Zhang

Citation matching is the problem of extracting bibliographic records from citation lists in technical papers, and merging records that represent the same publication. Generally, there are three types of datasets in citation matching, i.e., sparse, dense and hybrid types. Typical approaches for citation matching are Joint Segmentation (Jnt-Seg) and Joint Segmentation Entity Resolution (Jnt-Seg-E...

2011
Cyju Elizabeth Varghese Naveen Sundar

Duplication detection identifies the records that represent the same real-world entity. This is a vital process in data integration. Record matching refers to the task of finding entries that refer to the same entity in two or more files. Performing record matching solves the duplication detection problems; hence the needs for identifying the suitable record matching technique follow. Supervise...

2011
YEE FAN TAN Kazunari Sugiyama Jin Zhao Ziheng Lin Jesse Prabawa Gozali Jun Ping Ng Aobo Wang Cong Duy Vu Hoang Emma Thuy Dung Nguyen Minh Thang Luong Yee Seng Chan Wei Lu Victor Goh Huaxin Xu Gang Wang Yantao Zheng Zhaoyan Ming

In many record matching problems, the input data is either ambiguous or incomplete, making the record matching task difficult. However, for some domains, evidence for record matching decisions are readily available in large quantities on the Web. These resources may be retrieved by making queries to a search engine, making the Web a valuable resource. On the other hand, Web resources are slow t...

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