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Combining Classifiers and Relevance Feedback For The Ambiguous Author Name Problem of Scientific Papers in Digital Libraries by Emilia Alves is a document available to read on EtoBox.

What is Combining Classifiers and Relevance Feedback For The Ambiguous Author Name Problem of Scientific Papers in Digital Libraries about?

This paper provides a method that combine classifiers and utilize user feedback for to solve the ambiguous author names problem of scientific papers in digital libraries. A clustering method is used to group references and to form pure groups. In the next step the classifiers are combined to produce a good classifier which will learn a similarity function for assigning authors to correct groups.

Author

Emilia Alves

Language

EN