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Personal profile

Personal Profile

PhD in Statistics, University of Malaya

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.

  • 2 Similar Profiles
Data mining Engineering & Materials Science
Logistics Engineering & Materials Science
Logistic Regression Mathematics
Decision trees Engineering & Materials Science
Malaysia Mathematics
Classifiers Engineering & Materials Science
Binary Regression Mathematics
Predictive Model Mathematics

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Research Output 2006 2019

  • 320 Citations
  • 7 h-Index
  • 26 Article
  • 22 Conference contribution
  • 5 Editorial
  • 1 Paper

Data visualization of violent crime hotspots in Malaysia

Anuar, N. B. & Yap, B. W., Jan 1 2019, Soft Computing in Data Science - 4th International Conference, SCDS 2018, Proceedings. Yap, B. W., Mohamed, A. H. & Berry, M. W. (eds.). Springer Verlag, p. 350-363 14 p. (Communications in Computer and Information Science; vol. 937).

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

Malaysia
Data visualization
Data Visualization
Crime
Hot Spot

Preface

Yap, B. W., Mohamed, A. & Berry, M. W., Jan 1 2019, In : Communications in Computer and Information Science. 937, p. V-VI

Research output: Contribution to journalEditorial

Feature selection methods: Case of filter and wrapper approaches for maximising classification accuracy

Yap, B. W., Ibrahim, N., Hamid, H. A., Rahman, S. A. & Fong, S., Jan 1 2018, In : Pertanika Journal of Science and Technology. 26, 1, p. 329-340 12 p.

Research output: Contribution to journalArticle

selection methods
Feature extraction
filter
Classifiers
Electronic mail

Investigating the power of goodness-of-fit test for multinomial logistic regression using K-Means clustering technique

Hamid, H. A., Hassan, A., Yap, B. W. & Amin, N. A. M., Oct 2 2018, Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. Zin, S. M., Rusdi, N. A., Khazali, K. A. B. M., Abdullah, N., Roslan, N., Zain, N. A. M., Saad, R. M. & Yazid, N. M. (eds.). American Institute of Physics Inc., Vol. 2013. 020004

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

goodness of fit
logistics
regression analysis
dependent variables
simulation
2 Citations

Investigating the power of goodness-of-fit tests for multinomial logistic regression

Abdul Hamid, H., Yap, B. W., Xie, X. J. & Seng Huat, O., Apr 21 2018, In : Communications in Statistics: Simulation and Computation. 47, 4, p. 1039-1055 17 p.

Research output: Contribution to journalArticle

Goodness of Fit Test
Logistic Regression
Logistics
Type I error
Covariates