Dynamically-optimized context in recommender systems. - Ghim-Eng Yap; Ah-Hwee Tan; HweeHwa Pang (Mobile Data Management, 2005)

Discovering Causal Dependencies in Mobile Context-Aware Recommenders. - Ghim-Eng Yap; Ah-Hwee Tan; HweeHwa Pang (MDM, 2006)

Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. - Ghim-Eng Yap; Ah-Hwee Tan; HweeHwa Pang (AAAI, 2007)

Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. - Ghim-Eng Yap; Ah-Hwee Tan; HweeHwa Pang (IEEE Trans. Knowl. Data Eng., 2007)

Explaining inferences in Bayesian networks. - Ghim-Eng Yap; Ah-Hwee Tan; HweeHwa Pang (Appl. Intell., 2008)

Learning and exploiting context dependencies for robust recommendations - Ghim-Eng Yap (2008)

A Bayesian approach integrating regional and global features for image semantic learning. - Luong-Dong Nguyen; Ghim-Eng Yap; Ying Liu 026; Ah-Hwee Tan; Liang-Tien Chia; Joo-Hwee Lim (ICME, 2009)

Activity recognition using correlated pattern mining for people with dementia. - Kelvin Sim; Clifton Phua; Ghim-Eng Yap; Jit Biswas; Mounir Mokhtari (EMBC, 2011)

Learning Feature Dependencies for Noise Correction in Biomedical Prediction. - Ghim-Eng Yap; Ah-Hwee Tan; HweeHwa Pang (SDM, 2011)

Effective Next-Items Recommendation via Personalized Sequential Pattern Mining. - Ghim-Eng Yap; Xiaoli Li 001; Philip S. Yu (DASFAA (2), 2012)

Centroid-Based Actionable 3D Subspace Clustering. - Kelvin Sim; Ghim-Eng Yap; David R. Hardoon; Vivekanand Gopalkrishnan; Gao Cong; Suryani Lukman (IEEE Trans. Knowl. Data Eng., 2013)

An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data. - Manoranjan Dash; Gim Guan Chua; Hai-Long Nguyen; Ghim-Eng Yap; Hong Cao; Xiaoli Li 001; Shonali Priyadarsini Krishnaswamy; James Decraene; Amy Shi Nash (MDM (1), 2014)

Home and Work Place Prediction for Urban Planning Using Mobile Network Data. - Manoranjan Dash; Hai-Long Nguyen; Hong Cao; Ghim-Eng Yap; Minh Nhut Nguyen; Xiaoli Li 001; Shonali Priyadarsini Krishnaswamy; James Decraene; Spiros Antonatos; Yue Wang; Dang The Anh; Amy Shi Nash (MDM (2), 2014)

Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling. - Wei Wu 020; Yue Wang; João Bártolo Gomes; Dang The Anh; Spiros Antonatos; Mingqiang Xue; Peng Yang 010; Ghim-Eng Yap; Xiaoli Li 001; Shonali Krishnaswamy; James Decraene; Amy Shi Nash (MDM (1), 2014)

Using Semantic Technologies to Mine Customer Insights in Telecom Industry. - Rajaraman Kanagasabai; Anitha Veeramani; Le Duy Ngan; Ghim-Eng Yap; James Decraene; Amy Shi Nash (ISWC (Industry Track), 2014)

Detecting click fraud in online advertising: a data mining approach. - Richard Jayadi Oentaryo; Ee-Peng Lim; Michael Finegold; David Lo 001; Feida Zhu 001; Clifton Phua; Eng-Yeow Cheu; Ghim-Eng Yap; Kelvin Sim; Minh Nhut Nguyen; Kasun S. Perera; Bijay Neupane; et al. (J. Mach. Learn. Res., 2014)

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data. - Manoranjan Dash; Kee Kiat Koo; James Decraene; Ghim-Eng Yap; Wei Wu 020; João Bártolo Gomes; Amy Shi Nash; Xiaoli Li 001 (ICDE, 2015)

From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility. - Manoranjan Dash; Kee Kiat Koo; Thomas Holleczek; Ghim-Eng Yap; Shonali Priyadarsini Krishnaswamy; Amy Shi Nash (MDM (1), 2015)