Research explorer tool

13 results

Best practice for implementing a data warehouse: a review for strategic alignment.

Conference Proceeding
Weir, R., Peng, T., & Kerridge, J. (2003)
Best practice for implementing a data warehouse: a review for strategic alignment. In Design and Management of Data Warehouses 2003: Proceedings of the 5th Intl. Workshop DMDW'2003, Berlin, Germany, September 8, 2003
A review of literature pertaining to data warehouse implementations over the last eight years has been undertaken. It was found that the views of data warehouse practitioners ...

Improving data quality in data warehousing applications

Conference Proceeding
Li, L., Peng, T., & Kennedy, J. (2010)
Improving data quality in data warehousing applications. In J. Filipe, & J. Cordeiro (Eds.), Proceedings of the 12th International Conference on Enterprise Information Systems, 379-382. https://doi.org/10.5220/0002903903790382
There is a growing awareness that high quality of data is a key to today’s business success and dirty data that exits within data sources is one of the reasons that cause poor...

Visualization of Online Datasets

Conference Proceeding
Peng, T., & Downie, C. (2017)
Visualization of Online Datasets. In Proceedings of 15th IEEE/ACIS International Conference on Software Engineering Research, Management and Application (SERA), (239-246
As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, an element even more significant as we im...

Visualization of Online Datasets

Journal Article
Peng, T., & Downie, C. (2017)
Visualization of Online Datasets. International Journal of Networked and Distributed Computing, 6(1), 11-23. https://doi.org/10.2991/ijndc.2018.6.1.2
As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, information visualization becomes even mo...

An Approach to a Laser-Touchscreen System

Book Chapter
Aizeboje, J., & Peng, T. (2016)
An Approach to a Laser-Touchscreen System
As modern day technologies advance, so have different methods in which users can interact with computers. Computers are currently being used in combination with devices like p...

Towards a Synthetic Data Generator for Matching Decision Trees

Conference Proceeding
Peng, T., & Hanke, F. (2016)
Towards a Synthetic Data Generator for Matching Decision Trees. In Proceedings of the 18th International Conference on Enterprise Information Systems, 135-141. doi:10.5220/0005829001350141
It is popular to use real-world data to evaluate or teach data mining techniques. However, there are some disadvantages to use real-world data for such purposes. Firstly, real...

The VoIP intrusion detection through a LVQ-based neural network.

Presentation / Conference
Zheng, L., & Peng, T. (2009, November)
The VoIP intrusion detection through a LVQ-based neural network. Paper presented at The 4th International Conference for Internet Technology and Secured Transactions, London, UK
Being a fast-growing Internet application, Voice over Internet Protocol shares the network resources with the regular Internet traffic. However it is susceptible to the existi...

A comparison of techniques for name matching

Journal Article
Peng, T., Li, L., & Kennedy, J. (2012)
A comparison of techniques for name matching. GSTF journal on computing, 2,
Information explosion is a problem for everyone nowadays. It is a great challenge to all kinds of businesses to maintain high quality of data in their information applications...

A discrete formalism for reasoning about action and change

Conference Proceeding
Knight, B., Ma, J., & Peng, T. (1996)
A discrete formalism for reasoning about action and change. In R. Adey, G. Rzevski, & R. Teti (Eds.), Applications of artificial intelligence in engineering XIIdoi:10.2495/AI970101
No abstract available.

A rule based taxonomy of dirty data.

Journal Article
Li, L., Peng, T., & Kennedy, J. (2011)
A rule based taxonomy of dirty data. GSTF journal on computing, 1(2), 140-148
There is a growing awareness that high quality of data is a key to today’s business success and that dirty data existing within data sources is one of the causes of poor data ...

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