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Success in implementing a Customer Relationship Management (CRM) system requires close attention to data quality issues. However, most of the literature focuses on the quality of the input streams rather than the quality of the customer data integration (CDI) and customer recognition outcomes. This paper describes some preliminary research into the creation(More)
This chapter introduces abstract algebra as a means of understanding and creating data quality metrics for entity resolution, the process in which records determined to represent the same real-world entity are successively located and merged. Entity resolution is a particular form of data mining that is foundational to a number of applications in both(More)
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