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Evaluating different matching algorithms for identity resolution.
Collective clustering is a different matching technique for identity resolution [8].
Our experiments using synthetic and real-world data demonstrate the importance of social behavior and relationship attributes for identity resolution.
Second, the integration of both personal and social attributes provides complementary and convincing evidence for identity resolution.
All these studies have demonstrated that social information, when incorporated in matching algorithms, can improve the performance for identity resolution.
Missing values, if present in many fields of a record, can present a big challenge for identity resolution techniques.
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Identity theories suggest that personal and social identity may complement each other for the purpose of identity resolution.
From an MDM perspective, two important aspects of identity resolution guides its implementation and underlying architecture.
Developing a comprehensive framework of identity resolution that covers both the usage of identity attributes and matching algorithms; Examining the predictive powers of personal identity attributes and social identity features for resolution; and.
It also is offering consumers two years of identity resolution services.
In this paper we introduce a framework of identity resolution that covers different identity attributes and matching algorithms.
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CEO of Professional Science Editing for Scientists @ prosciediting.com