Bee Wah Yap

According to our database, Bee Wah Yap authored at least 15 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles.

Mohammad Nasir Abdullah, Bee Wah Yap

Proceedings of the Data Science and Emerging Technologies, 2023

2022

Forecasting the Cumulative COVID-19 Cases in Indonesia Using Flower Pollination Algorithm.

Afiahayati, Yap Bee Wah, Sri Hartati, Yunita Sari, I Nyoman Prayana Trisna, Diyah Utami Kusumaning Putri, Aina Musdholifah, Retantyo Wardoyo

Comput., 2022

Multi-class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier.

Mohammad Nasir Abdullah, Bee Wah Yap, Nik Nur Fatin Fatihah Sapri, Wan Fairos Wan Yaacob

Proceedings of the Data Science and Emerging Technologies, 2022

2021

An improved ACO-based decision tree algorithm for imbalanced datasets.

Muhamad Hasbullah Mohd Razali, Rizauddin Saian, Yap Bee Wah, Ku Ruhana Ku-Mahamud

Int. J. Math. Model. Numer. Optimisation, 2021

Quantifying the Impact of Climatic Factors on Dengue Incidence Using Generalized Linear Mixed Model with Spatio-Temporal Bayesian Poisson Random Effects Approach.

Nik Nur Fatin Fatihah Sapri, Wan Fairos Wan Yaacob, Bee Wah Yap

Proceedings of the Soft Computing in Data Science - 6th International Conference, 2021

2020

The state of the art and taxonomy of big data analytics: view from new big data framework.

Azlinah Mohamed, Maryam Khanian Najafabadi, Bee Wah Yap, Ezzatul Akmal Kamaru-Zaman, Ruhaila Maskat

Artif. Intell. Rev., 2020

2018

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

Hamzah Abdul Hamid, Bee Wah Yap, Xian-Jin Xie, Seng-Huat Ong

Commun. Stat. Simul. Comput., 2018

Data Visualization of Violent Crime Hotspots in Malaysia.

Namelya Binti Anuar, Bee Wah Yap

Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018

2016

Imbalance Effects on Classification Using Binary Logistic Regression.

Hezlin Aryani Abd Rahman, Bee Wah Yap

Proceedings of the Soft Computing in Data Science - Second International Conference, 2016

Metabolites Selection and Classification of Metabolomics Data on Alzheimer's Disease Using Random Forest.

Mohammad Nasir Abdullah, Bee Wah Yap, Yuslina Zakaria, Abu Bakar Abdul Majeed

Proceedings of the Soft Computing in Data Science - Second International Conference, 2016

2015

Comparisons of ADABOOST, KNN, SVM and Logistic Regression in Classification of Imbalanced Dataset.

Hezlin Aryani Abd Rahman, Bee Wah Yap, Haibo He, Awang M. Bulgiba

Proceedings of the Soft Computing in Data Science - First International Conference, 2015

2013

An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets.

Bee Wah Yap, Khatijahhusna Abd Rani, Hezlin Aryani Abd Rahman, Simon Fong, Zuraida Khairudin, Nik Nik Abdullah

Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

2011

Using data mining to improve assessment of credit worthiness via credit scoring models.

Bee Wah Yap, Seng-Huat Ong, Nor Huselina Mohamed Husain

Expert Syst. Appl., 2011

Predicting car purchase intent using data mining approach.

Bee Wah Yap, Nor Huwaina Ismail, Simon Fong

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

Citizen Relationship Management: The influence of justice perceptions and service recovery satisfaction on trust in government: An empirical investigation of Malaysian local authorities.

Hazman Shah Abdullah, Norizan Sharif, Yap Bee Wah

Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, 2010