Dr Nicos Pavlidis
Management ScienceThe Management School
My research interests are in the fields of statistics, data mining, and machine learning. My research focuses on the development of statistical and machine learning methods that are able to automatically handle time-varying population distributions, and can reveal temporal structure in the data. I am particularly interested in applications which involve data arriving sequentially and at a high frequency relative to the available storage and processing capabilities.
MSCI 521: Introductory Statistics
MSCI 526: Data Mining for Marketing, Sales and Finance
MSCI 331: Data Mining for Direct Marketing and Finance
- Adaptive consumer credit classification
Pavlidis, N.., Tasoulis, D., Adams, N M. & Hand, D J. 12/2012 In: Journal of the Operational Research Society. 63, 12, p. 1645-1654. 10 p.
- Enhancing differential evolution utilizing proximity-based mutation operators
Epitropakis, M., Tasoulis, D K., Pavlidis, N., Plagianakos, V P. & Vrahatis, M N. 2011 In: IEEE Transactions on Evolutionary Computation. 15, 1, p. 99-119. 21 p.
- Lambda-perceptron: an adaptive classifier for data-streams
Pavlidis, N., Tasoulis, D., Adams, N M. & Hand, D J. 01/2011 In: Pattern Recognition. 44, 1, p. 78-96. 19 p.