{"product_id":"data-matching-concepts-and-techniques-for-record-linkage-entity-resolution-and-duplicate-detection-datacentric-systems-and-applications-9783642430015","title":"Data Matching: Concepts and Techniques for Record Linkage  Entity Resolution  and Duplicate Detection (Data-Centric Systems and Applications)","description":"\u003cp\u003eData 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 Christens 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  it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process  this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end  each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":45666106900533,"sku":"ByrdShop_3642430015","price":197.46,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9783642430015.jpg?v=1782419923","url":"https:\/\/atxbooks.com\/products\/data-matching-concepts-and-techniques-for-record-linkage-entity-resolution-and-duplicate-detection-datacentric-systems-and-applications-9783642430015","provider":"ATX Books","version":"1.0","type":"link"}