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Author Christen, Peter.

Title Data matching : concepts and techniques for record linkage, entity resolution, and duplicate detection / Peter Christen.

Imprint Berlin ; New York : Springer, 2012.

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Location Call No. OPAC Message Status
 Axe Books 24x7 IT E-Book  Electronic Book    ---  Available
Description 1 online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Series Data-centric systems and applications
Data-centric systems and applications.
Contents Part 1. THE EMERGENCE OF THE HORIZON -- Indexicality as a Phenomenological Problem -- James and Husserl: The Horizon as a Psychological and a Philosophical Theme -- The World-Horizon in Ideas I -- The Structures of Horizon-Consciousness in Ideas I -- Introduction -- Part 2. THE HORIZONS OF TRANSCENDENTAL SUBJECTIVITY -- The Static and Genetic Determinations of the Horizon -- The Reduction as the Disclosure of the Horizons of Transcendental Subjectivity -- The Horizon and the Origins of Sense-Formation -- Husserl's Notion of the Primal Ego in Light of the Hermeneutical Critique -- Part 3. THE WORLD-HORIZON AS THE WHEREFROM, WHEREIN, AND THE WHERETO OF EXPERIENCE -- The World-Horizon as the Wherefrom of Experience -- The World-Horizon as the Wherein of Experience -- The World-Horizon as the Whereto of Experience -- Conclusion.
Part 1. Overview -- Introduction -- The Data Matching Process-- Part 2. Steps of the DataMatching Process -- Data Pre-Processing -- Indexing -- Field and Record Comparison -- Classification -- Evaluation of Matching Quality and Complexity-- Part 3. Further Topics -- Privacy Aspects of Data Matching -- Further Topics and Research Directions -- Data Matching Systems.
Bibliography Includes bibliographical references and index.
Summary 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 da.
Language English.
Subject Database management.
Information retrieval.
Data mining.
Statistical matching.
COMPUTERS -- Database Management -- General.
COMPUTERS -- Desktop Applications -- Databases.
COMPUTERS -- System Administration -- Storage & Retrieval.
Informatique.
Data mining. (OCoLC)fst00887946
Database management. (OCoLC)fst00888037
Information retrieval. (OCoLC)fst00972619
Statistical matching. (OCoLC)fst01132069
Indexed Term Computer science.
Database management.
Data mining.
Information storage and retrieval systems.
Artificial intelligence.
Optical pattern recognition.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Pattern Recognition.
Genre/Form Electronic books.
Other Form: Print version: Christen, Peter. Data matching. Berlin ; New York : Springer, 2012 (DLC) 2012942028
ISBN 9783642311642 (electronic bk.)
3642311644 (electronic bk.)
3642430015
9783642430015
9783642311635
3642311636 (alk. paper)
Standard No. 10.1007/978-3-642-31164-2 doi
AU@ 000050022203
AU@ 000058061040
AU@ 000058456328
DEBSZ 431202087
DKDLA 820120-katalog:000661287
NLGGC 356868702
NZ1 14690469

 
    
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