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Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i
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简体网页||繁体网页
Richard Y. Wang 作者
Springer
译者
2001-01-15 出版日期
182 页数
USD 185.00 价格
Hardcover
丛书系列
9780792372158 图书编码

Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 图书标签: database   

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Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 著者简介

Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 图书目录

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Data Quality (The Kluwer International Series on Advances in Database Systems Volume 23) (Advances i 在线电子书 图书描述

<em>Data Quality</em> provides an exposé of research and practice in the data quality field for technically oriented readers. It is based on the research conducted at the MIT Total Data Quality Management (TDQM) program and work from other leading research institutions. This book is intended primarily for researchers, practitioners, educators and graduate students in the fields of Computer Science, Information Technology, and other interdisciplinary areas. It forms a theoretical foundation that is both rigorous and relevant for dealing with advanced issues related to data quality. Written with the goal to provide an overview of the cumulated research results from the MIT TDQM research perspective as it relates to database research, this book is an excellent introduction to Ph.D. who wish to further pursue their research in the data quality area. It is also an excellent theoretical introduction to IT professionals who wish to gain insight into theoretical results in the technically-oriented data quality area, and apply some of the key concepts to their practice.

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