Search Results - "Yap, Ghim Eng"

Centroid-Based Actionable 3D Subspace Clustering by Sim, Kelvin, Ghim-Eng Yap, Hardoon, David R., Gopalkrishnan, Vivekanand, Gao Cong, Lukman, Suryani

“…Actionable 3D subspace clustering from real-world continuous-valued 3D (i.e., object-attribute-context) data promises tangible benefits such as discovery of…”
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From Mobile Phone Data to Transport Network -- Gaining Insight about Human Mobility by Dash, Manoranjan, Koo, Kee Kiat, Holleczek, Thomas, Ghim-Eng Yap, Krishnaswamy, Shonali Priyadarsini, Shi-Nash, Amy

“…In this paper we present methods for mapping trajectories of cell tower latitude-longitudes in mobile phone data to transport network. Compared to other forms…”
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CDR-To-MoVis: Developing a Mobility Visualization System from CDR data by Dash, Manoranjan, Kee Kiat Koo, Decraene, James, Ghim-Eng Yap, Wei Wu, Gomes, Joao Bartolo, Shi-Nash, Amy, Xiaoli Li

“…CDR (Call Detail Records) data is more easily available than other network related data (such as GPS data) as most telecommunications service providers (TSPs)…”
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An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data by Dash, Manoranjan, Gim Guan Chua, Hai Long Nguyen, Ghim Eng Yap, Cao Hong, Xiaoli Li, Krishnaswamy, Shonali Priyadarsini, Decraene, James, Nash, Amy Shi

“…Knowledge about population distribution of planning areas helps in making urban development decisions. Two important criteria are: "where do people live?" and…”
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Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders by Yap, Ghim-Eng, Tan, Ah-Hwee, Pang, Hwee-Hwa

“…Acquisition of context poses unique challenges to mobile context-aware recommender systems. The limited resources in these systems make minimizing their…”
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Explaining inferences in Bayesian networks by Yap, Ghim-Eng, Tan, Ah-Hwee, Pang, Hwee-Hwa

“…While Bayesian network (BN) can achieve accurate predictions even with erroneous or incomplete evidence, explaining the inferences remains a challenge…”
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Discovering Causal Dependencies in Mobile Context-Aware Recommenders by Yap, Ghim-Eng, Tan, Ah-Hwee, Pang, Hwee-Hwa

“…Mobile context-aware recommender systems face unique challenges in acquiring context. Resource limitations make minimizing context acquisition a practical…”
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Home and Work Place Prediction for Urban Planning Using Mobile Network Data by Dash, Manoranjan, Hai Long Nguyen, Cao Hong, Ghim Eng Yap, Minh Nhut Nguyen, Xiaoli Li, Krishnaswamy, Shonali Priyadarsini, Decraene, James, Antonatos, Spiros, Yue Wang, Dang The Anh, Shi-Nash, Amy

“…We present methods to predict and validate home and work places of anonymized users using their mobile network data. Knowledge of home and work place of a user…”
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A Bayesian approach integrating regional and global features for image semantic learning by Luong-Dong Nguyen, Ghim-Eng Yap, Ying Liu, Ah-Hwee Tan, Liang-Tien Chia, Joo-Hwee Lim

“…In content-based image retrieval, the ldquosemantic gaprdquo between visual image features and user semantics makes it hard to predict abstract image…”
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Activity recognition using correlated pattern mining for people with dementia by Sim, K., Phua, C., Yap, G., Biswas, J., Mokhtari, M.

“…Due to the rapidly aging population around the world, senile dementia is growing into a prominent problem in many societies. To monitor the elderly dementia…”
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Improving the accuracy of erroneous-plan recognition system for Activities of Daily Living by Sim, K, Ghim-Eng Yap, Phua, C, Biswas, J, Aung Aung Phyo Wai, Tolstikov, A, Weimin Huang, Yap, P

“…Using ambient intelligence to assist people with dementia in carrying out their Activities of Daily Living (ADLs) independently in smart home environment is an…”
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Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling by Wu, Wei, Wang, Yue, Gomes, Joao Bartolo, Anh, Dang The, Antonatos, Spiros, Xue, Mingqiang, Yang, Peng, Yap, Ghim Eng, Li, Xiaoli, Krishnaswamy, Shonali, Decraene, James, Shi-Nash, Amy

“…One major problem of using location data collected from mobile cellular networks for mobility modelling is the oscillation phenomenon. An oscillation occurs…”
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