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2010 – 2019
- 2015
[c13]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: 1452-1455- [c12]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: 243-250 - 2014
- [j4]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): 99-140 (2014) - [c11]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: 37-42 - [c10]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: 321-328 - [c9]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: 345-348 - [c8]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 - 2013
- [j3]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): 1213-1226 (2013) - 2012
- [c7]Ghim-Eng Yap, Xiaoli Li, Philip S. Yu:
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining. DASFAA (2) 2012: 48-64 - 2011
- [c6]Kelvin Sim, Clifton Phua, Ghim-Eng Yap, Jit Biswas, Mounir Mokhtari:
Activity recognition using correlated pattern mining for people with dementia. EMBC 2011: 7593-7597 - [c5]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Learning Feature Dependencies for Noise Correction in Biomedical Prediction. SDM 2011: 71-82
2000 – 2009
- 2009
- [c4]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: 546-549 - 2008
- [b1]Ghim-Eng Yap:
Learning and exploiting context dependencies for robust recommendations. Nanyang Technological University, Singapore, 2008 - [j2]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Explaining inferences in Bayesian networks. Appl. Intell. 29(3): 263-278 (2008) - 2007
- [j1]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): 977-992 (2007) - [c3]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection. AAAI 2007: 354-359 - 2006
- [c2]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Discovering Causal Dependencies in Mobile Context-Aware Recommenders. MDM 2006: 4 - 2005
- [c1]Ghim-Eng Yap, Ah-Hwee Tan, HweeHwa Pang:
Dynamically-optimized context in recommender systems. Mobile Data Management 2005: 265-272
Coauthor Index
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