A tool for generating synthetic data
Peng, T., & Telle, A. (2018)
A tool for generating synthetic data. In DATA '18 Proceedings of the First International Conference on Data Science, E-learning and Information Systemshttps://doi.org/10.1145/3279996.3280018
It is popular to use real-world data to evaluate data mining techniques. However, there are some disadvantages to use real-world data for such purposes. Firstly, real-world da...
Visualization of Online Datasets
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
Aizeboje, J., & Peng, T. (2016)
An Approach to a Laser-Touchscreen System. In Enterprise Information Systems; Lecture Notes in Business Information Processing (476-495). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-29133-8_23
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...
A comparison of techniques for name matching
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 rule based taxonomy of dirty data.
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 ...
Improving data quality in data warehousing applications
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...
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 framework for data cleaning in data warehouses
Peng, T. (2008)
A framework for data cleaning in data warehouses. Enterprise Information Systems, 473-478
It is a persistent challenge to achieve a high quality of data in data warehouses. Data cleaning is a crucial task for such a challenge. To deal with this challenge, a set of ...
Best practice for implementing a data warehouse: a review for strategic alignment.
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 ...
Dimensional analysis based causal ordering
Shen, Q., Peng, T., & Milne, R. (1998)
Dimensional analysis based causal ordering. In Proceedings of the 13th International Workshop on Qualitative Reasoning, 193-202
This paper presents a novel approach for generating causal dependencies between system variables, from an acausal description of the system behaviour, and for identifying the ...