Ghim-Eng Yap

According to our database1, Ghim-Eng Yap authored at least 17 papers between 2005 and 2015.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2015
From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility.
Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014
Detecting click fraud in online advertising: a data mining approach.
J. Mach. Learn. Res., 2014

Using Semantic Technologies to Mine Customer Insights in Telecom Industry.
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.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Home and Work Place Prediction for Urban Planning Using Mobile Network Data.
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.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

2013
Centroid-Based Actionable 3D Subspace Clustering.
IEEE Trans. Knowl. Data Eng., 2013

2012
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Learning Feature Dependencies for Noise Correction in Biomedical Prediction.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Activity recognition using correlated pattern mining for people with dementia.
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.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

2008
Explaining inferences in Bayesian networks.
Appl. Intell., 2008

2007
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders.
IEEE Trans. Knowl. Data Eng., 2007

Learning Causal Models for Noisy Biological Data Mining: An Application to Ovarian Cancer Detection.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Discovering Causal Dependencies in Mobile Context-Aware Recommenders.
Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006

2005
Dynamically-optimized context in recommender systems.
Proceedings of the 6th International Conference on Mobile Data Management (MDM 2005), 2005


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