Classification Research Group: Some Recent Publications

The group is involved in diverse activities, some of which are listed below

Plastic card transaction fraud detection
Streaming data analysis
Classification and clustering
Data Mining

Plastic card transaction fraud detection

Juszczak, P., Adams, N.M., Hand, D.J., Whitrow, C. and Weston, D.J.,"Off-the-peg and bespoke classifiers for fraud detection" Computational Statistics and Data Analyis, 52, (2008), 4521-4532.
Weston, D.J., Hand, D.J., Adams, N.M., Whitrow, C., and Juszczak, P., "Plastic card fraud detection using peer group analysis" Advances in Data Analysis and Classification, 2(1), (2008), 45-62.
Whitrow, C., Hand, D.J., Juszczak, P., Weston, D.J., and Adams, N.M., "Transaction aggregation as a strategy for credit card fraud detection", Data Mining and Knowledge Discovery, 18(1), (2008), 30-55.
Tasoulis D.K., Weston D.J., Adams N.M. and Hand D.J. "Mining Information from Plastic Card Transaction Streams", In "18th International Conference on Computational Statistics", Porto, Portugal, (2008).

Streaming Data

K. Triantafyllopoulos and G. Montana (2009). Dynamic modeling of mean-reverting spreads for statistical arbitrage. Computational Management Science, in press
Anagnostopoulos, C., Tasoulis, D.K., Adams, N.M. and Hand, D.J. 'Temporally adaptive estimation of logistic classifiers on data streams'. Adv. Data An. Classif., 3(3) (2009), 243-261.
Tasoulis, D.K., Adams, N.M., and Hand, D.J., 'Selective fusion of out-of-sequence measurements', Information Fusion, (2009), doi:10.1016/j.inffus.2009.06.002
Montana, G. and Parrella, F. "Data mining for algorithmic asset management". Chapter in "Data Mining for Business Applications". Editors: L. Cao, P. S. Yu, C. Zhang, H. Zhang. Springer (2009).
Montana, G., Triantafyllopoulos, K. and Tsagaris, T. "Flexible least squares for temporal data mining and statistical arbitrage", Expert Systems with Applications, (2009) 36, 2819-2830.
Anagnostopoulos, C., Adams, N.M. and Hand, D.J. "Deciding what to observe next: adaptive variable selection for regression in multivariate data streams" in "Proceedings of the ACM Symposium on Applied Computing (SAC)", 2008, 961-965.
Ross,G, Adams, N.M. Tasoulis, D.K. and Hand, D.J., "Streaming annotation and prediction for regime switching data streams". in "ACM SAC'09, Symposium on Applied Computing", (2009), accepted.
Anagnostopoulos, C., Tasoulis, D.K., Adams, N.M. and Hand, D.J. "Online optimization for variable selection in data streams". In "ECAI 2008, 18th European Conference on Artificial Intelligence", M. Ghallab, C.D. Spyropoulos, N. Fakotakis and N. Avouris (Eds)) 2008, 132-136.

Classification and clustering

Hand D.J. (2009) Measuring classifier performance: a coherent alternative to the area under the ROC curve. Machine Learning, 77, 103-123
Jamain A. and Hand D.J. (2009) Where are the large and difficult data sets? Advances in Data Analysis and Classification, 3, 25-38.
Hand D.J. "Breast cancer diagnosis from proteomic mass spectrometry data: a comparative evaluation" Statistical Applications in Genetics and Molecular Biology, (2009) in press.
Tasoulis S.K. and Tasoulis D.K., "Improving Principal Direction Divisive Clustering" In "The 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008)", August 24-27, (2008).
Jamain A. and Hand D.J., "Mining supervised classification performance studies: a meta-analytic investigation" Journal of Classification, 25, (2008) 87-112.

Data Mining

Heard, N. A., Weston, D. J., Platanioti, K. and Hand, D. J. (2010) Bayesian Anomaly Detection Methods for Social Networks. Annals of Applied Statistics, 4, 2, 645-662.
G. Montana, M. Berk and T. Ebbels (2010). Modelling Short Time Series in Metabolomics: A Functional Data Analysis Approach. Chapter in "Software Tools and Algorithms for Biological Systems", Springer. In press.
Adams, N.M., 'Perspectives on Data Mining', Int. J Market Res, 52(1) (2010), in press
Bentham J. and Hand D.J. (2009) Detecting new kinds of patient safety incidents. Discovery Science, 2009. Springer Lecture Notes on Artificial Intelligence, 5808, ed. J. Gama et al, 51-65.
Hand D.J. (2009) Naive Bayes. In The Top Ten Algorithms in Data Mining, ed. X.Wu and V.Kumar, Chapman and Hall, Boca Raton. p163-177.
Pei T, Jasra A., and Hand D.J., "DECODE: a new method for discovering clusters of different densities in spatial data", Data Mining and Knowledge Discovery (2009), in press.
Wu X, Kumar V., Quinlan J.R., Ghosh J., Yang Q., Motoda H., McLachlan G.J., Ng A., Liu B., Yu P.S., Zhou Z-H., Steinbach M., Hand D.J., and Steinberg D, "Top 10 algorithms in data mining" Knowledge and Information Systems, (2008), 14, 1-37.
Tasoulis D.K., Plagianakos V.P. and Vrahatis M.N., "Computational Intelligence Algorithms and DNA Microarrays", In "Computational Intelligence in Bioinformatics", / Series: Studies in Computational Intelligence, Vol. 94 Arpad Kelemen, Ajith Abraham, Yuehui Chen (Eds.), 2007.