Titlebook: Data Matching; Concepts and Techniq Peter Christen Book 2012 Springer-Verlag Berlin Heidelberg 2012 data consistency.data management.data m

SOBER

Data Matching Systemsve expensive price tags attached to them. Some of these systems are aimed at certain application areas, such as the deduplication of business mailing lists or the matching of health databases, while others are part of larger data warehousing or data integration systems. This chapter starts by provid

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眼界

Introductionrivacy-preserving data matching. With the increasing use of data matching in various application areas, it is worth looking at example applications and exploring the different approaches to data matching that have been developed, as well as to describe the various challenges that occur in different application areas.

盟军

Torsten Meier,Peter Thomas,Stephan W. Koch one-to-one match restrictions into account. This chapter describes the major classification techniques for data matching and deduplication, and discusses issues that are relevant to the classification process such as matching restrictions and merging of matched records.

调整

Classification one-to-one match restrictions into account. This chapter describes the major classification techniques for data matching and deduplication, and discusses issues that are relevant to the classification process such as matching restrictions and merging of matched records.