Ghim-Eng Yap

Publication Activity (10 Years)

Years Active: 2005-2015
Publications (10 Years): 0

Top Topics

Churn Prediction

Sequential Pattern Mining

Top Venues

J. Mach. Learn. Res.

ISWC (Industry Track)

Publications

Manoranjan Dash, Kee Kiat Koo, Thomas Holleczek, Ghim-Eng Yap, Shonali Priyadarsini Krishnaswamy, Amy Shi Nash
From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility. MDM (1) (2015)
Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li
CDR-To-MoVis: Developing a Mobility Visualization System from CDR data. ICDE (2015)
Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh, Amy Shi Nash
Home and Work Place Prediction for Urban Planning Using Mobile Network Data. MDM (2) (2014)
Wei Wu, Yue Wang, João Bártolo Gomes, Dang The Anh, Spiros Antonatos, Mingqiang Xue, Peng Yang, Ghim-Eng Yap, Xiaoli Li, Shonali Krishnaswamy, James Decraene, Amy Shi Nash
Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling. MDM (1) (2014)
Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash
An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data. MDM (1) (2014)
Rajaraman Kanagasabai, Anitha Veeramani, Le Duy Ngan, Ghim-Eng Yap, James Decraene, Amy Shi Nash
Using Semantic Technologies to Mine Customer Insights in Telecom Industry. ISWC (Industry Track) (2014)
Richard Jayadi Oentaryo, Ee-Peng Lim, Michael Finegold, David Lo, Feida Zhu, Clifton Phua, Eng-Yeow Cheu, Ghim-Eng Yap, Kelvin Sim, Minh Nhut Nguyen, Kasun S. Perera, Bijay Neupane, Mustafa Amir Faisal, Zeyar Aung, Wei Lee Woon, Wei Chen, Dhaval Patel, Daniel Berrar
Detecting click fraud in online advertising: a data mining approach. J. Mach. Learn. Res. 15 (1) (2014)
Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong, Suryani Lukman
Centroid-Based Actionable 3D Subspace Clustering. IEEE Trans. Knowl. Data Eng. 25 (6) (2013)
Ghim-Eng Yap, Xiaoli Li, Philip S. Yu
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining. DASFAA (2) (2012)
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
Learning Feature Dependencies for Noise Correction in Biomedical Prediction. SDM (2011)
Kelvin Sim, Clifton Phua, Ghim-Eng Yap, Jit Biswas, Mounir Mokhtari
Activity recognition using correlated pattern mining for people with dementia. EMBC (2011)
Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia, Joo-Hwee Lim
A Bayesian approach integrating regional and global features for image semantic learning. ICME (2009)
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
Explaining inferences in Bayesian networks. Appl. Intell. 29 (3) (2008)
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders. IEEE Trans. Knowl. Data Eng. 19 (7) (2007)
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. AAAI (2007)
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
Discovering Causal Dependencies in Mobile Context-Aware Recommenders. MDM (2006)
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
Dynamically-optimized context in recommender systems. Mobile Data Management (2005)