期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：12
页码：9766-9773
出版社：IJECS
摘要：Duplicate detection consists in detecting multiple type of representations of a same object, andthat for every object represented in a database source. Duplicate detection is relevant in data cleaning anddata integration applications and has been studied extensively for relational data describing a single typeof object in a single data table. The main aim of the project is to detect the duplicate in the structureddata. Proposed system focus on a specific type of error, namely fuzzy duplicates, or duplicates for shortname .The problem of detecting duplicate entities that describe the same real-world object is an importantdata cleansing task, which is important to improve data quality. The data which stored in a flat relationhas numerous solutions to such type of problem exist.Duplicate detection, which is an important subtask of data cleaning, which includes identifying multiplerepresentations of a same real-world object. Numerous approaches are there for relational and XML data.Their goal is to either on improving the quality of the detected duplicates (effectiveness) or on savingcomputation time (efficiency)
关键词：Duplicate detection; record linkage;xml; Baysesian networks.Data cleaning; Dogmatix
