C. Liew

发表

D-JRA2.1 — Initial architecture: first selected components

M. Atkinson, A. Krause, I. Klampanos, 2012 .

The impact of play on child development - a literature review

L. Y. Por, Ngan Kuen Lai, T. F. Ang, 2018, European Early Childhood Education Research Journal.

ADMIRE D2.9 – Final report on the ADMIRE architecture, with an assessment and proposals for its development

M. Atkinson, Michelle Galea, C. Liew, 2011 .

Big Data Reduction Methods: A Survey

Prem Prakash Jayaraman, Ying Wah Teh, Chee Sun Liew, 2016, Data Science and Engineering.

Optimizing Workflow Task Clustering Using Reinforcement Learning

Chee Sun Liew, Chee Seng Chan, Muhammad Habib Ur Rehman, 2021, IEEE Access.

Scientific Workflows

Jano I. van Hemert, Chee Sun Liew, Michelle Galea, 2016, ACM Comput. Surv..

Mining Personal Data Using Smartphones and Wearable Devices: A Survey

Ying Wah Teh, Chee Sun Liew, Junaid Shuja, 2015, Sensors.

Issues of Establishing a Campus-wide Computational Grid Infrastructure in the GERANIUM Project

Chee Sun Liew, Lip Yee Por, Tan Fong Ang, 2006, International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies (ICNICONSMCL'06).

Optimisation of the enactment of fine-grained distributed data-intensive work flows

Chee Sun Liew, C. Liew, 2012 .

A Mean Convolutional Layer for Intrusion Detection System

Leila Mohammadpour, Teck Chaw Ling, Chee Sun Liew, 2020, Secur. Commun. Networks.

A Bandwidth-Aware Job Grouping-Based Scheduling on Grid Environment

Teck Chaw Ling, Chee Sun Liew, Lip Yee Por, 2009 .

Towards next-generation heterogeneous mobile data stream mining applications: Opportunities, challenges, and future research directions

Ying Wah Teh, Chee Sun Liew, Muhammad Khurram Khan, 2017, J. Netw. Comput. Appl..

Optimization of data-intensive workflows in stream-based data processing models

Chee Sun Liew, Ehsan Ullah Munir, M. Mustafa Rafique, 2017, The Journal of Supercomputing.

UniMiner: Towards a unified framework for data mining

Chee Sun Liew, Teh Ying Wah, Muhammad Habib ur Rehman, 2014, 2014 4th World Congress on Information and Communication Technologies (WICT 2014).

Frequent pattern mining in mobile devices: A feasibility study

Chee Sun Liew, Teh Ying Wah, Muhammad Habib Ur Rehman, 2014, Proceedings of the 6th International Conference on Information Technology and Multimedia.

Data-Intensive Workflow Optimization Based on Application Task Graph Partitioning in Heterogeneous Computing Systems

Chee Sun Liew, Samee Ullah Khan, Ehsan Ullah Munir, 2014, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing.

A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems

Chee Sun Liew, Samee Ullah Khan, Ehsan Ullah Munir, 2016, J. Parallel Distributed Comput..

A Survey of CNN-Based Network Intrusion Detection

T. Ling, Alihossein Aryanfar, C. Liew, 2022, Applied Sciences.

A Convolutional Neural Network for Network Intrusion Detection System

Chee Sun Liew, Teck Chaw Ling, Chun Yong Chong, 2018 .

Device-centric adaptive data stream management and offloading for analytics applications in future internet architectures

Ying Wah Teh, Nidal Nasser, Chee Sun Liew, 2021, Future Gener. Comput. Syst..

Data-intensive architecture for scientific knowledge discovery

Óscar Corcho, Chee Sun Liew, Michelle Galea, 2012, Distributed and Parallel Databases.