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The Design for High Dynamic GPS Receiver in a Combinated Method of FLL and PLL Read chapter Read first chapter

2013 | OriginalPaper | Chapter

106. An Improved Plagiarism Detection Method: Model and Sample

Authors : Jing Fang, Yuanyuan Zhang

Published in: Emerging Technologies for Information Systems, Computing, and Management

Publisher: Springer New York

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Abstract

Cosine similarity measure is an efficient plagiarism detection algorithm for documents. However, it may be misled if the document is not properly preprocessed. Furthermore, the weight for the words in the document should depend on its occurrence frequency in the whole digital library. Otherwise, cosine similarity measure may not accurate enough. This paper aims to enhance the accuracy of similarity measure. A preprocessing method and a model to adjust word’s weight according to occurrence frequency are proposed in this paper. The paper also develops a sample to illustrate how to preprocess documents, adjust the weight for the words and calculate the similarity. The sample shows that it gets better result after applying the model in this paper.

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Metadata
Title
An Improved Plagiarism Detection Method: Model and Sample
Authors
Jing Fang
Yuanyuan Zhang
Copyright Year
2013
Publisher
Springer New York
Book
Emerging Technologies for Information Systems, Computing, and Management

Print ISBN: 978-1-4614-7009-0

Electronic ISBN: 978-1-4614-7010-6

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4614-7010-6_106