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Ghim-Eng Yap
Publication Activity (10 Years)
Years Active: 2005-2015
Publications (10 Years): 0
Top Topics
Mobile Phone
Urban Planning
Churn Prediction
Sequential Pattern Mining
Top Venues
MDM (1)
J. Mach. Learn. Res.
DASFAA (2)
ISWC (Industry Track)
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Publications
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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)