## 2007 |

Successes and New Directions in Data Mining Book Chapter In: Chapter Visualizing Multi Dimensional Data, pp. 236–276, Idea Group Inc., 2007, ISBN: 1599046458. |

Adding Interactivity to Andrews Curves and Extensions Inproceedings In: Villanueva, J J (Ed.): Visualization, Imaging, and Image Processing (VIIP 2007), pp. 118–122, ACTA Press, Palma de Mallorca, 2007, ISBN: 978--0--88986--691--1. |

## 2005 |

Data Mining and Visualization PhD Thesis School of Computing, Paisley University, 2005. |

The Combined Use of Self-organizing Maps and Andrews' Curves Journal Article In: International Journal of Neural Systems, 15 (3), pp. 1-10, 2005, ISSN: 0129-0657. |

Data Mining and Visualization Technical Report Paisley University High Street, Paisley, Strathclyde, PA1 2BE, United Kingdon, (30), 2005. |

Visualization of High-Dimensional Data via Orthogonal Curves Journal Article In: Journal of Universal Computer Science, 11 (11), pp. 1806–1819, 2005, ISSN: 0948-695x. |

## 2004 |

An Extension of Grand Tour Methods Based on Andrews' Curves Inproceedings In: Villanueva, Juan J (Ed.): 4th Annual IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2004), pp. 109–114, Marbella, Spain, 2004, ISSN: 1482-7921. |

Using Andrews' Curves for Clustering and Sub-Clustering Self-Organizing Maps Inproceedings In: Verleysen, Michel (Ed.): European Symposium on Artificial Neural Networks (ESANN 2004), pp. 477–482, d-side publications, Bruges, Belgium, 2004, ISBN: 2-930307-04-8. |

## 2003 |

An Extension of Andrews Curves for Data Analysis Inproceedings In: Emergent Solutions for the Information and Knowledge Economy (X SIGEF Congress), pp. 123–134, 2003, ISBN: 84-9773-069. |

Visualisation in High Dimensional Feature Spaces Inproceedings In: International Workshop on Practical Applications of Agents and Multiagents Systems (IWPAAMS 2003), pp. 158–167, Valladolid (Spain), 2003, ISBN: 84-688-4720-8. |

# Publications

Andrews curves Applied Machine Learning Boosting Business intelligence Chomsky normal form Class-imbalanced problems Classifier ensembles Cocke-Younger-Kasami algorithm Computer Science teaching Data analysis Data Mining Data visualization Decision trees Disturbing neighbors End of studies project Ensemble methods Ensembles Exploratory data analysis Exploratory projection pursuit Finite automata Grammars Imbalanced data Instance selection Linear projections LL parsing nearest neighbour Neural networks Parsing algorithms Prototype selection Random forest Random oracles Regression Regression ensembles Regression trees Regular expressions Rotation forest Self organizing maps Support vector machines surface roughness Undersampling