• 282 Citations
  • 10 h-Index
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 12 Similar Profiles
Semantics Engineering & Materials Science
Adaptive boosting Engineering & Materials Science
Syntactics Engineering & Materials Science
Hidden Markov models Engineering & Materials Science
Information retrieval Engineering & Materials Science
Records management Engineering & Materials Science
Linguistics Engineering & Materials Science
Labels Engineering & Materials Science

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Research Output 2006 2018

  • 282 Citations
  • 10 h-Index
  • 35 Article
  • 22 Conference contribution
  • 1 Review article

Classification of Holy Quran translation using Neural Network technique

Hamed, S. K. & Ab Aziz, M. J., 1 Jan 2018, In : Journal of Engineering and Applied Sciences. 13, 12, p. 4468-4475 8 p.

Research output: Contribution to journalArticle

Neural networks

Feature selection based on supervised topic modeling for boosting-based multi-label text categorization

Al-Salemi, B., Ayob, M., Mohd Noah, S. A. & Ab Aziz, M. J., 9 Mar 2018, Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-November. p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Text Categorization
Adaptive boosting
Feature Space

Information system success framework based on interpersonal conflict factors

Aboaoga, M., Ab Aziz, M. J. & Mohamed, I., 1 Jan 2018, In : International Journal of Electrical and Computer Engineering. 8, 5, p. 3740-3746 7 p.

Research output: Contribution to journalArticle

Information systems
Factor analysis

The effectiveness of bottom up technique with probabilistic approach for a malay parser

Fairuzz Hiloh, M. A., Ab Aziz, M. J. & Zakaria, L. Q., 1 May 2018, In : GEMA Online Journal of Language Studies. 18, 2, p. 124-133 10 p.

Research output: Contribution to journalArticle


The effectiveness of using Malay affixes for handling unknown words in unsupervised HMM POS tagger

Mohamed, H., Omar, N. & Ab Aziz, M. J., 1 Jan 2018, In : International Journal of Engineering and Technology(UAE). 7, 4.29 Special Issue 29, p. 9-12 4 p.

Research output: Contribution to journalArticle

Hidden Markov models