[論文筆記] Methodologies for Data Quality Assessment and Improvement (ACM Comput.Surv, 2009) (2)
本篇博文主要對DMQ(S3.7)的分類進行了研讀。數據庫
1. 這個章節提出了一種DQM的分類法（以下圖）3d
由上圖可見，該分類法的分類標準是對assessment & improvement階段的支持，以及是否解決technique(quality dimensions) & economic方面的問題。orm
2. 從歷史發展的角度來看，數據質量維度的關注點與ICT(Information & Communication Technology)的發展是相關的。
(1) 五六十年代時，monolithic系統（一般只包含單個數據庫和單個主機），DQ主要關注accuracy, consistency, completeness, time-related dimensions. 數據質量管理面臨的最主要問題是：error localization, correction in data sources, record linkage between new data sources and pre-existing data bases.
(2) network-based階段. DMQ開始關注新的質量維度：compeleteness of the data source, currency of data, consistency of new data sources compared to the enterprise database.
(3) 隨着Web的出現，DMQ須要解決新的質量維度：accessibility, reputation
3. audit methodologies比complete、operational methodologies在assessmetn階段都要更準確。
4. 四種分類的簡介blog
- audit methodologies: 主要是關於assessment階段
- operational methodologeis: 關注點在於評估階段識別issues以便在改進階段取得好的效果。主要貢獻：(1) 一組相關維度的識別，以便改進; (2) 描述了一些改進這些維度的易懂的方法
- completeness methodologies: 適用於大型DQ項目
- economic methodologies: 做爲其餘DQM的補充
- 1. [論文筆記] Methodologies for Data Quality Assessment and Improvement (ACM Comput.Surv, 2009) (1)
- 2. [論文解讀] Callisto: Entropy based test generation and data quality assessment for Machine Learning ...
- 3. Perceptual Quality Assessment of Smartphone Photography(論文筆記)
- 4. Image Quality Assessment,IQA and Video Quality Assessment,VQA
- 5. [論文解讀] Beyond Code Coverage – an Approach for Test Suite Assessment and Improvement
- 6. 論文筆記《Blind Quality Assessment Based on Pseudo-Reference Image》(2)
- 7. RankIQA:Learning from Rankings for No-reference Image Quality Assessment論文閱讀筆記
- 8. [閱讀筆記]Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and C
- 9. 圖像質量評估 (IQA) 論文筆記： Convolutional Neural Networks for No-Reference Image Quality Assessment
- 10. 論文筆記《Blind Quality Assessment Based on Pseudo-Reference Image》(1)
- 更多相關文章...
- • ASP.NET Razor - 標記 - ASP.NET 教程
- • Scala for循環 - Scala教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • RxJava操作符（七）Conditional and Boolean
-
每一个你不满意的现在，都有一个你没有努力的曾经。
- 1. [論文筆記] Methodologies for Data Quality Assessment and Improvement (ACM Comput.Surv, 2009) (1)
- 2. [論文解讀] Callisto: Entropy based test generation and data quality assessment for Machine Learning ...
- 3. Perceptual Quality Assessment of Smartphone Photography(論文筆記)
- 4. Image Quality Assessment,IQA and Video Quality Assessment,VQA
- 5. [論文解讀] Beyond Code Coverage – an Approach for Test Suite Assessment and Improvement
- 6. 論文筆記《Blind Quality Assessment Based on Pseudo-Reference Image》(2)
- 7. RankIQA:Learning from Rankings for No-reference Image Quality Assessment論文閱讀筆記
- 8. [閱讀筆記]Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and C
- 9. 圖像質量評估 (IQA) 論文筆記： Convolutional Neural Networks for No-Reference Image Quality Assessment
- 10. 論文筆記《Blind Quality Assessment Based on Pseudo-Reference Image》(1)