Ghim-Eng Yap

According to our database, Ghim-Eng Yap authored at least 18 papers between 2005 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.

Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Detecting click fraud in online advertising: a data mining approach.

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

J. Mach. Learn. Res., 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

Proceedings of the Industry Track at the International Semantic Web Conference 2014 Co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling.

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

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 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, Shonali Priyadarsini Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh, Amy Shi Nash

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

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, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash

Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

2013

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

2012

Effective Next-Items Recommendation via Personalized Sequential Pattern Mining.

Ghim-Eng Yap, Xiaoli Li, Philip S. Yu

Proceedings of the Database Systems for Advanced Applications, 2012

2011

Learning Feature Dependencies for Noise Correction in Biomedical Prediction.

Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Activity recognition using correlated pattern mining for people with dementia.

Kelvin Sim, Clifton Phua, Ghim-Eng Yap, Jit Biswas, Mounir Mokhtari

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009

A Bayesian approach integrating regional and global features for image semantic learning.

Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia, Joo-Hwee Lim

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

2008

Learning and exploiting context dependencies for robust recommendations

Ghim-Eng Yap

PhD thesis, 2008

Explaining inferences in Bayesian networks.

Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang

Appl. Intell., 2008

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

Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection.

Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Discovering Causal Dependencies in Mobile Context-Aware Recommenders.

Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang

Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006

2005

Dynamically-optimized context in recommender systems.

Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang

Proceedings of the 6th International Conference on Mobile Data Management (MDM 2005), 2005