Research of Data Cleaning Methods Based on Dependency Rules

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Methods Based on Dependency Rules</title> <meta name="description" content="Research of Data Cleaning Methods Based on Dependency Rules"> <meta name="keywords" content="data cleaning, dependency rules, violation data discovery, data repair"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research 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Cleaning Methods Based on Dependency Rules</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yang%20Bao">Yang Bao</a>, <a href="https://publications.waset.org/abstracts/search?q=Shi%20Wei%20Deng"> Shi Wei Deng</a>, <a href="https://publications.waset.org/abstracts/search?q=WangQun%20Lin"> WangQun Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces the concept and principle of data cleaning, analyzes the types and causes of dirty data, and proposes several key steps of typical cleaning process, puts forward a well scalability and versatility data cleaning framework, in view of data with attribute dependency relation, designs several of violation data discovery algorithms by formal formula, which can obtain inconsistent data to all target columns with condition attribute dependent no matter data is structured (SQL) or unstructured (NoSQL), and gives 6 data cleaning methods based on these algorithms. <iframe src="https://publications.waset.org/abstracts/31348.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20cleaning" title="data cleaning">data cleaning</a>, <a href="https://publications.waset.org/abstracts/search?q=dependency%20rules" title=" dependency rules"> dependency rules</a>, <a href="https://publications.waset.org/abstracts/search?q=violation%20data%20discovery" title=" violation data discovery"> violation data discovery</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20repair" title=" data repair"> data repair</a> </p> <a href="https://publications.waset.org/abstracts/31348/research-of-data-cleaning-methods-based-on-dependency-rules" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31348.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> 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Research of Data Cleaning Methods Based on Dependency Rules