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...
Dimensional analysis based causal ordering
Conference Proceeding
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 ...
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.
An Approach to a Laser-Touchscreen System
Book Chapter
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...
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 ...
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 ...
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
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...
A tool for generating synthetic data
Conference Proceeding
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...