Bee Wah Yap

18 papers Journal 3Unranked 9
YearRankTypeTitle / Venue / Authors
2023 — conf
Evaluation of Machine Learning Models for Breast Cancer Detection in Microarray Gene Expression Profiles.
DaSET
Mohammad Nasir Abdullah, Bee Wah Yap
2022 — conf
Multi-class Classification for Breast Cancer with High Dimensional Microarray Data Using Machine Learning Classifier.
DaSET
Mohammad Nasir Abdullah, Bee Wah Yap, Nik Nur Fatin Fatihah Sapri, Wan Fairos Wan Yaacob
2021 — conf
Quantifying the Impact of Climatic Factors on Dengue Incidence Using Generalized Linear Mixed Model with Spatio-Temporal Bayesian Poisson Random Effects Approach.
SCDS
Nik Nur Fatin Fatihah Sapri, Wan Fairos Wan Yaacob, Bee Wah Yap
2021 — ed.
Soft Computing in Data Science - 6th International Conference, SCDS 2021, Virtual Event, November 2-3, 2021, Proceedings
SCDS
Azlinah Mohamed, Bee Wah Yap, Jasni Mohamad Zain, Michael W. Berry
2020 J jnl
The state of the art and taxonomy of big data analytics: view from new big data framework.
Artif. Intell. Rev.
Azlinah Mohamed, Maryam Khanian Najafabadi, Bee Wah Yap, Ezzatul Akmal Kamaru-Zaman, Ruhaila Maskat
2019 — ed.
Soft Computing in Data Science - 4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings
SCDS
Bee Wah Yap, Azlinah Hj. Mohamed, Michael W. Berry
2019 — ed.
Soft Computing in Data Science - 5th International Conference, SCDS 2019, Iizuka, Japan, August 28-29, 2019, Proceedings
SCDS
Michael W. Berry, Bee Wah Yap, Azlinah Mohamed, Mario Köppen
2018 — conf
Data Visualization of Violent Crime Hotspots in Malaysia.
SCDS
Namelya Binti Anuar, Bee Wah Yap
2018 J jnl
Investigating the power of goodness-of-fit tests for multinomial logistic regression.
Commun. Stat. Simul. Comput.
Hamzah Abdul Hamid, Bee Wah Yap, Xian-Jin Xie, Seng-Huat Ong
2017 — ed.
Soft Computing in Data Science - Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27-28, 2017, Proceedings
SCDS
Azlinah Mohamed, Michael W. Berry, Bee Wah Yap
2016 — conf
Imbalance Effects on Classification Using Binary Logistic Regression.
SCDS
Hezlin Aryani Abd Rahman, Bee Wah Yap
2016 — conf
Metabolites Selection and Classification of Metabolomics Data on Alzheimer's Disease Using Random Forest.
SCDS
Mohammad Nasir Abdullah, Bee Wah Yap, Yuslina Zakaria, Abu Bakar Abdul Majeed
2016 — ed.
Soft Computing in Data Science - Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings
SCDS
Michael W. Berry, Azlinah Hj. Mohamed, Bee Wah Yap
2015 — conf
Comparisons of ADABOOST, KNN, SVM and Logistic Regression in Classification of Imbalanced Dataset.
SCDS
Hezlin Aryani Abd Rahman, Bee Wah Yap, Haibo He, Awang M. Bulgiba
2015 — ed.
Soft Computing in Data Science - First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings
SCDS
Michael W. Berry, Azlinah Hj. Mohamed, Bee Wah Yap
2013 — conf
An Application of Oversampling, Undersampling, Bagging and Boosting in Handling Imbalanced Datasets.
DaEng
Bee Wah Yap, Khatijahhusna Abd Rani, Hezlin Aryani Abd Rahman, Simon Fong, Zuraida Khairudin, Nik Nik Abdullah
2011 — conf
Predicting car purchase intent using data mining approach.
FSKD
Bee Wah Yap, Nor Huwaina Ismail, Simon Fong
2011 J jnl
Using data mining to improve assessment of credit worthiness via credit scoring models.
Expert Syst. Appl.
Bee Wah Yap, Seng-Huat Ong, Nor Huselina Mohamed Husain