Towards a Synthetic Data Generator for Matching Decision Trees
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...
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...
An evaluation of name matching techniques.
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...
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 ...
Towards a framework for dealing with data quality in data warehouses.
Peng, T. (2005)
Towards a framework for dealing with data quality in data warehouses. In P. Petratos (Ed.), Current Computing Developments in E-Commerce, Security, HCI, DB, Collaborative and Cooperative Systems, 241-256. ATINER
The popularity of data warehouses (DWs) in recent years confirms the importance of data quality in today’s business success. It is estimated that as high as 75% of the effort ...
Probabilistic temporal reasoning in situation calculus.
Peng, T., Ma, J., & Knight, B. (1996)
Probabilistic temporal reasoning in situation calculus. In Proc. of ICIE-96
A discrete formalism for reasoning about action and change
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.
Representing temporal relationships between events and their effects.
Ma, J., Knight, B., & Peng, T. (1996)
Representing temporal relationships between events and their effects. In Proc. of the 4th Workshop on Temporal Representation and Reasoning, 148-152. doi:10.1109/TIME.1997.600796
Temporal relationships between events and their effects
are complex. As the ejjects of a given event, a
proposition may change its truth value immediately after