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 (SOLI, 2010)

Predicting car purchase intent using data mining approach. - Bee Wah Yap; Nor Huwaina Ismail; Simon Fong 001 (FSKD, 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)

An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets. - Bee Wah Yap; Khatijahhusna Abd Rani; Hezlin Aryani Abd Rahman; Simon Fong 001; Zuraida Khairudin; Nik Nik Abdullah (DaEng, 2013)

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 (SCDS, 2015)

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 (SCDS, 2016)

Imbalance Effects on Classification Using Binary Logistic Regression. - Hezlin Aryani Abd Rahman; Bee Wah Yap (SCDS, 2016)

Data Visualization of Violent Crime Hotspots in Malaysia. - Namelya Binti Anuar; Bee Wah Yap (SCDS, 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)

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)

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 (SCDS, 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)

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 (DaSET, 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)

Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles. - Mohammad Nasir Abdullah; Bee Wah Yap (DaSET, 2023)