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Themes : Information Society x Research Areas : Information science x Research Centres Groups : Centre for Distributed Computing, Networking and Security x People : Thomas Tan x

Outputs (5)

On privacy aware carriers for value-possessed e-invoices considering intelligence mining

Cha, S., Wang, H., Tan, Z., Joung, Y., Tseng, Y., & Yeh, K. (in press). On privacy aware carriers for value-possessed e-invoices considering intelligence mining. IEEE Transactions on Emerging Topics in Computational Intelligence,
<p>Cha, S., Wang, H., Tan, Z., Joung, Y., Tseng, Y., & Yeh, K. (in press). On privacy aware carriers for value-possessed e-invoices considering intelligence mining. <i>IEEE Transactions on Emerging Topics in Computational Intelligence</i>, </p>

Intelligence mining is one of the most promising technologies for effectively extracting intelligence (and knowledge) to enhance the quality of decision-making. In Taiwan, the...

2019
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification

Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (in press). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, https://doi.org/10.1007/s11276-018-01909-0
<p>Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (in press). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. <i>Wireless Networks</i>, https://doi.org/10.1007/s11276-018-01909-0</p>

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever ...

2018
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

Ambusaidi, M. A., He, X., Nanda, P., & Tan, Z. (2016). Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm. IEEE Transactions on Computers, 65(10), 2986-2998. https://doi.org/10.1109/tc.2016.2519914
<p>Ambusaidi, M. A., He, X., Nanda, P., & Tan, Z. (2016). Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm. <i>IEEE Transactions on Computers</i>, <i>65(10)</i>, 2986-2998. https://doi.org/10.1109/tc.2016.2519914</p>

Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification bu...

2016
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Projects (1)

Repairing Polluted Artificial Intelligent Systems with Machine Unlearning

ENU Development Trust

£29703

This project is intended to seek in-depth understanding of the new promising decentralised machine learning scheme, namely federated learning, and develop a proof-of-concept algorithm-independent unle...

2019 to 2020

Themes : Information Society x Research Areas : Information science x Research Centres Groups : Centre for Distributed Computing, Networking and Security x People : Thomas Tan x

Themes : Information Society x Research Areas : Information science x Research Centres Groups : Centre for Distributed Computing, Networking and Security x People : Thomas Tan x

On privacy aware carriers for value-possessed e-invoices considering intelligence mining

Cha, S., Wang, H., Tan, Z., Joung, Y., Tseng, Y., & Yeh, K. (in press). On privacy aware carriers for value-possessed e-invoices considering intelligence mining. IEEE Transactions on Emerging Topics in Computational Intelligence,
<p>Cha, S., Wang, H., Tan, Z., Joung, Y., Tseng, Y., & Yeh, K. (in press). On privacy aware carriers for value-possessed e-invoices considering intelligence mining. <i>IEEE Transactions on Emerging Topics in Computational Intelligence</i>, </p>

Intelligence mining is one of the most promising technologies for effectively extracting intelligence (and knowledge) to enhance the quality of decision-making. In Taiwan, the...

2019
NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification

Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (in press). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, https://doi.org/10.1007/s11276-018-01909-0
<p>Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (in press). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. <i>Wireless Networks</i>, https://doi.org/10.1007/s11276-018-01909-0</p>

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever ...

2018
Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm

Ambusaidi, M. A., He, X., Nanda, P., & Tan, Z. (2016). Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm. IEEE Transactions on Computers, 65(10), 2986-2998. https://doi.org/10.1109/tc.2016.2519914
<p>Ambusaidi, M. A., He, X., Nanda, P., & Tan, Z. (2016). Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm. <i>IEEE Transactions on Computers</i>, <i>65(10)</i>, 2986-2998. https://doi.org/10.1109/tc.2016.2519914</p>

Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification bu...

2016
Detection of Denial-of-Service Attacks Based on Computer Vision Techniques

Tan, Z., Jamdagni, A., He, X., Nanda, P., Liu, R. P., & Hu, J. (2015). Detection of Denial-of-Service Attacks Based on Computer Vision Techniques. IEEE Transactions on Computers, 64(9), 2519-2533. doi:10.1109/tc.2014.2375218
<p>Tan, Z., Jamdagni, A., He, X., Nanda, P., Liu, R. P., & Hu, J. (2015). Detection of Denial-of-Service Attacks Based on Computer Vision Techniques. <i>IEEE Transactions on Computers</i>, <i>64(9)</i>, 2519-2533. doi:10.1109/tc.2014.2375218</p>

Detection of Denial-of-Service (DoS) attacks has attracted researchers since 1990s. A variety of detection systems has been proposed to achieve this task. Unlike the existing ...

2014
Reviving legacy enterprise systems with microservice-based architecture within cloud environments

Habibullah, S., Liu, X., Tan, Z., Zhang, Y., & Liu, Q. (2019). Reviving legacy enterprise systems with microservice-based architecture within cloud environments. In Computer Science Conference Proceedingshttps://doi.org/10.5121/csit.2019.90713
<p>Habibullah, S., Liu, X., Tan, Z., Zhang, Y., & Liu, Q. (2019). Reviving legacy enterprise systems with microservice-based architecture within cloud environments. In <i>Computer Science Conference Proceedings</i>https://doi.org/10.5121/csit.2019.90713</p>

Evolution has always been a challenge for enterprise computing systems. The microservice based architecture is a new design model which is rapidly becoming one of the most eff...

2019

Themes : Information Society x Research Areas : Information science x Research Centres Groups : Centre for Distributed Computing, Networking and Security x People : Thomas Tan x

Repairing Polluted Artificial Intelligent Systems with Machine Unlearning

ENU Development Trust

£29703

This project is intended to seek in-depth understanding of the new promising decentralised machine learning scheme, namely federated learning, and develop a proof-of-concept algorithm-independent unle...

2019 to 2020

Themes : Information Society x Research Areas : Information science x Research Centres Groups : Centre for Distributed Computing, Networking and Security x People : Thomas Tan x

Themes : Information Society x Research Areas : Information science x Research Centres Groups : Centre for Distributed Computing, Networking and Security x People : Thomas Tan x

Themes : Information Society x Research Areas : Information science x Research Centres Groups : Centre for Distributed Computing, Networking and Security x People : Thomas Tan x

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