Ebook Data Matching Concepts and Techniques for Record Linkage Entity Resolution and Duplicate Detection DataCentric Systems and Applications Peter Christen 9783642311635 Books
Download As PDF : Data Matching Concepts and Techniques for Record Linkage Entity Resolution and Duplicate Detection DataCentric Systems and Applications Peter Christen 9783642311635 Books
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, “Overviewâ€, 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 Processâ€, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topicsâ€, 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.Ebook Data Matching Concepts and Techniques for Record Linkage Entity Resolution and Duplicate Detection DataCentric Systems and Applications Peter Christen 9783642311635 Books
""Product details
|
Data Matching Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications) [Peter Christen] on . Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying Peter Christen,Data Matching Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications),Springer,3642311636,Databases - General,System Administration - Storage Retrieval,Computer science,Database management,Information storage and retrieval,Artificial intelligence,B,COMPUTER,COMPUTER SCIENCE (SPECIFIC ASPECTS),COMPUTERS / Computer Vision Pattern Recognition,COMPUTERS / Databases / Data Mining,COMPUTERS / Databases / General,COMPUTERS / Intelligence (AI) Semantics,COMPUTERS / System Administration / Storage Retrieval,Computer Applications,Computer Books Database,Computer Vision Pattern Recognition,Computer/Databases,Computers,Computers - General Information,Computers/Artificial Intelligence - Computer Vision Pattern Recognition,Computers/Database Administration Management,Computers/Optical Data Processing,Computers/System Administration - Storage Retrieval,Data Mining and Knowledge Discovery,Data mining,Data warehousing,Database Management,Database programming,Databases,Databases - Data Mining,Databases - General,Expert systems / knowledge-based systems,Informatik, EDV / Informatik,Information Storage and Retrieval,Information retrieval,Intelligence (AI) Semantics,MICROCOMPUTER DATABASE MANAGEMENT,Microcomputer Database Management Software,Monograph Series, any,Non-Fiction,Pattern recognition,Scholarly/Undergraduate,System Administration - Storage Retrieval,United States,data consistency; data management; data matching; data quality; duplicate detection; entity resolution; field matching; record linkage,data consistency;data management;data matching;data quality;duplicate detection;entity resolution;field matching;record linkage,COMPUTERS / Computer Vision Pattern Recognition,COMPUTERS / Databases / Data Mining,COMPUTERS / Databases / General,COMPUTERS / Intelligence (AI) Semantics,COMPUTERS / System Administration / Storage Retrieval,Computer Vision Pattern Recognition,Computers/Artificial Intelligence - Computer Vision Pattern Recognition,Computers/Database Administration Management,Computers/Optical Data Processing,Computers/System Administration - Storage Retrieval,Databases - Data Mining,Intelligence (AI) Semantics,Computers - General Information,Computer Science (Specific Aspects),Microcomputer Database Management Software,Computers,Computer Books Database,Artificial intelligence,Data mining,Data warehousing,Database programming,Expert systems / knowledge-based systems,Information retrieval,Pattern recognition,Databases,Informatik, EDV / Informatik
Data Matching Concepts and Techniques for Record Linkage Entity Resolution and Duplicate Detection DataCentric Systems and Applications Peter Christen 9783642311635 Books Reviews
-
0 Response to "⇒ PDF Data Matching Concepts and Techniques for Record Linkage Entity Resolution and Duplicate Detection DataCentric Systems and Applications Peter Christen 9783642311635 Books"
Post a Comment