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Number of items: 5. Ladas, Alexandros (2016) Potential of psychological information to support knowledge discovery in consumer debt analysis. PhD thesis, University of Nottingham. Scarpel, Rodrigo, Ladas, Alexandros and Aickelin, Uwe (2015) Indebted households profiling: a knowledge discovery from database approach. Annals of Data Science, 2 (1). pp. 43-59. ISSN 2198-5812 Ladas, Alexandros, Garibaldi, Jonathan M., Scarpel, Rodrigo and Aickelin, Uwe (2014) Augmented neural networks for modelling consumer indebtness. In: 2014 International Joint Conference on Neural Networks (IJCNN), 6-11 July 2014, Beijing, China. Ladas, Alexandros, Ferguson, Eamonn, Garibaldi, Jonathan M. and Aickelin, Uwe (2014) A data mining framework to model consumer indebtedness with psychological factors. In: IEEE International Conference on Data Mining: The Seventh International Workshop on Domain Driven Data Mining 2014 (DDDM 2014), 14 Dec 2014, Shenzhen, China. Ladas, Alexandros, Aickelin, Uwe, Garibaldi, Jonathan M. and Ferguson, Eamonn (2012) Using clustering to extract personality information from socio economic data. In: 12th UK Workshop on Computational Intelligence (UKCI 2012), 5-7 Sept 2012, Edinburgh, Scotland. (Unpublished) |
