Ghim-Eng Yap

18 papers A* 2A 2B 2Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2015 A* conf
CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.
ICDE
Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li
2015 — conf
From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility.
MDM (1)
Manoranjan Dash, Kee Kiat Koo, Thomas Holleczek, Ghim-Eng Yap, Shonali Priyadarsini Krishnaswamy, Amy Shi Nash
2014 — conf
An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data.
MDM (1)
Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash
2014 J jnl
Detecting click fraud in online advertising: a data mining approach.
J. Mach. Learn. Res.
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
2014 — conf
Home and Work Place Prediction for Urban Planning Using Mobile Network Data.
MDM (2)
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
2014 — conf
Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling.
MDM (1)
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
2014 — conf
Using Semantic Technologies to Mine Customer Insights in Telecom Industry.
ISWC (Industry Track)
Rajaraman Kanagasabai, Anitha Veeramani, Le Duy Ngan, Ghim-Eng Yap, James Decraene, Amy Shi Nash
2013 J jnl
Centroid-Based Actionable 3D Subspace Clustering.
IEEE Trans. Knowl. Data Eng.
Kelvin Sim, Ghim-Eng Yap, David R. Hardoon, Vivekanand Gopalkrishnan, Gao Cong, Suryani Lukman
2012 — conf
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining.
DASFAA (2)
Ghim-Eng Yap, Xiaoli Li, Philip S. Yu
2011 — conf
Activity recognition using correlated pattern mining for people with dementia.
EMBC
Kelvin Sim, Clifton Phua, Ghim-Eng Yap, Jit Biswas, Mounir Mokhtari
2011 A conf
Learning Feature Dependencies for Noise Correction in Biomedical Prediction.
SDM
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2009 A conf
A Bayesian approach integrating regional and global features for image semantic learning.
ICME
Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia, Joo-Hwee Lim
2008 J jnl
Explaining inferences in Bayesian networks.
Appl. Intell.
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2008 — —
Learning and exploiting context dependencies for robust recommendations
Ghim-Eng Yap
2007 J jnl
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders.
IEEE Trans. Knowl. Data Eng.
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2007 A* conf
Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection.
AAAI
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2006 B conf
Discovering Causal Dependencies in Mobile Context-Aware Recommenders.
MDM
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang
2005 B conf
Dynamically-optimized context in recommender systems.
Mobile Data Management
Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang