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Firdaus Firdaus
| Director Production | Faculty of Computer Science, Sriwijaya University
Computer Science & IT Engineering

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Deep Neural Network Structure to Improve Individual Performance based Author Classification Firdaus Firdaus; Muhammad Anshori; Sarifah Putri Raflesia; Ahmad Zarkasi; Mira Afrina; Siti Nurmaini
Computer Engineering and Applications Journal Vol 8 No 1 (2019)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (312.993 KB) | DOI: 10.18495/comengapp.v8i1.264

Abstract

This paper proposed an improved method for author name disambiguation problem, both homonym and synonym. The data prepared is the distance data of each pair of author’s attributes, Levenshtein distance are used. Using Deep Neural Networks, we found large gains on performance. The result shows that level of accuracy is 99.6% with a low number of hidden layers
Co-Authors Ahmad Zarkasi Mira Afrina Muhammad Anshori Sarifah Putri Raflesia Siti Nurmaini