data mining ()

Projects

Scottish Woodlands KTP
Scottish Woodlands Ltd is Scotland's leading independent full-service forest management company. It is also the second largest operator in the UK, with a network of 17 offices operating throughout Scotland, England, Wales and Northern Ireland.
Lettingweb
Exploring a data set of 13 years of data related to property lets in Scotland in order to reveal business opportunities and to communicate better with current and potential customers. This will be achieved using data visualisation and statistical data mining approaches.
DREAM
This project seeks to provide the technology and software infrastructure necessary to support the next generation of evolving infohabitants in a way that makes that infrastructure universal, open and scalable. The Distributed Resource Evolutionary Algorithm Machine (DREAM) will use existing...
GameVis
Developing statistical and visualisation software for the visual analysis of games meta-data
Developing Research Excellence and Methods (DREaM)
This AHRC-funded project developed a formal UK-wide network of Library and Information Science (LIS) researchers. A key goal of the project was to build capacity and capability in the development and implementation of innovative methods and techniques in undertaking LIS research.

Members

Charley Celice
Researcher
c.celice@napier.ac.uk
+44 131 455
Zhe Wang
Research student
z.wang2@napier.ac.uk
+44 131 455 2303
Peter McLaren
Researcher
P.McLaren@napier.ac.uk
+44 131 455
Xiaosong Wu
Affiliate PostDoc Research Fellow
+44 131 455

Publications

spyra, g., Buchanan, W., Ekonomou, E. (2017). Applied Machine Learning Predictive Analytics to SQL Injection Attack Detection and Prevention. In: (Ed.) 3RD IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (DISSECT), , () ( ed.). (pp. ). : . IEEE.

Peng, T., Hanke, F. (2016). Towards a Synthetic Data Generator for Matching Decision Trees. In: (Ed.) Proceedings of the 18th International Conference on Enterprise Information Systems, , () ( ed.). (pp. 135 - 141). Rome, Italy: . Scitepress.

Li, W., Meng, W., Tan, Z., Xiang, Y. (2014). Towards Designing an Email Classification System Using Multi-view Based Semi-supervised Learning. In: (Ed.) Proceedings of 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, , () ( ed.). (pp. 174-181). Beijing: . IEEE.

Diao, R., CHao, F., Peng, T., Snooke, N., Shen, Q. (2013). Feature Selection Inspired Classifier Ensemble Reduction. IEEE TRANSACTIONS ON CYBERNETICS, 99, (), .