Taoxin Peng

Taoxin Peng

Dr Taoxin Peng

Lecturer

Biography

Dr. Taoxin Peng has been with Edinburgh Napier University since 1999, where he is a lecturer in the School of Computing. He had been a research associate at the School of Artificial Intelligence of Edinburgh University from 1998 to 1999. He received his PhD in Computer Science from Greenwich University in 2000. His research interests include Data Quality and Data Cleaning, Data Mining and Data Warehousing, Model-based Reasoning, Temporal Reasoning and Knowledge Representation. His research findings have been published in International Conferences and Journals. Currently, Dr. Peng is working on a project about developing a generic framework for data cleaning. He has one PhD student completed and one in progress.

Date


23 results

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...

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...

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...

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...

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...

An approach to using a laser pointer as a mouse

Conference Proceeding
Aizeboje, J., & Peng, T. (2015)
An approach to using a laser pointer as a mouse. In Proceedings of the 17th International Conference on Enterprise Information Systems Volume 2, (543-552). https://doi.org/10.5220/0005378005430552
Modern technologies have evolved to present different ways users can interact with computers. Nowadays, computers and projectors are commonly used in teaching and presentation...

Feature selection Inspired classifier ensemble reduction.

Journal Article
Diao, R., Chao, F., Peng, T., Snooke, N., & Shen, Q. (2014)
Feature selection Inspired classifier ensemble reduction. IEEE Transactions on Cybernetics, 44, 1259-1268. https://doi.org/10.1109/TCYB.2013.2281820
Classifier ensembles constitute one of the main research directions in machine learning and data mining. The use of multiple classifiers generally allows better predictive per...

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...

An evaluation of name matching techniques.

Conference Proceeding
Peng, T., Li, L., & Kennedy, J. (2011)
An evaluation of name matching techniques. In Proceedings of 2nd Annual International Conference on Business Intelligence and Data Warehousing
Abstract—There is a growing awareness that the high quality of string matching is a key to a variety of applications, such as data integration, text and web mining, informatio...

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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