| 书目名称 | Data Matching | | 副标题 | Concepts and Techniq | | 编辑 | Peter Christen | | 视频video | | | 概述 | First book on a topic of growing importance for applications.Brings together research from various areas like databases, statistics, information retrieval, data mining, and machine learning.Details th | | 丛书名称 | Data-Centric Systems and Applications | | 图书封面 |  | | 描述 | .Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases..Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, i | | 出版日期 | Book 2012 | | 关键词 | data consistency; data management; data matching; data quality; duplicate detection; entity resolution; fi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-31164-2 | | isbn_softcover | 978-3-642-43001-5 | | isbn_ebook | 978-3-642-31164-2Series ISSN 2197-9723 Series E-ISSN 2197-974X | | issn_series | 2197-9723 | | copyright | Springer-Verlag Berlin Heidelberg 2012 |
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发表于 2025-3-21 19:16:51
