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Many companies and organizations face the common problem illustrated in Figure 1.1. The challenge is to take data from the real world and convert it into a model that can be used for decision making. For example, the model can be used as a tool to drive campaigns. The purpose of these campaigns is to affect the real world in a positive way from the perspective of the organization running the campaign...
Entity Resolution is the process of determining if two information system records are referring to the same entities, and is a crucial part in Information Quality research. The ER process becomes exponentially more complex and time consuming as datasets approach Big Data volumes. Due to the special characters of transitive closure in Entity Resolution and high volume of input data, traditional ER...
This paper compares entity resolution results obtained by using both probabilistic and deterministic matching when applied to the deduplication of student enrollment data. The approach outlined in this paper uses deterministic matching to represent equivalence for the calculation of weights to be used in probabilistic matching based on the Fellegi-Sunter model.
The EIIM model for ER allows for creation and maintenance of persistent entity identity structures. It accomplishes this through a collection of batch configurations that allow updates and asserted fixes to be made to the Identity knowledgebase (IKB). The model also provides a batch IR configuration that provides no maintenance activity but instead allows access to the identity information. This batch...
This paper discusses the user-defined inverted index design, analysis and measurement in Boolean rule-based entity resolution (ER) systems. The features of Boolean rule-based ER system will be described first and followed by how to design user-defined inverted index for better performance. An illustration of alignment of index and matching rules will be given. Also, there will be a discussion of three...
As organizations have begun increasingly to communicate and interact with consumers via the wireless, so the data and information quality (DIQ) of their offerings has become a central issue since it ensures service usability and utility for each visitor and, in addition, improves server utilization. In this article, we present Quality-enable eHealth system architecture, eQualityHealth, by introducing...
With increasing information reproduced each year, the quality of the data is subject to damage. Variations and errors in the address fields of databases make address-matching strategies problematic. In this paper, first the sources of the error in street names are investigated. Then, a hybrid approach, which is a combination of pattern and phonetic-matching algorithms, is used to fix the problems...
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