Beatriz de la Iglesia
Beatriz de la Iglesia
Lecturer of Computing Sciences, University of East Anglia
Verified email at
Cited by
Cited by
Clustering rules: a comparison of partitioning and hierarchical clustering algorithms
AP Reynolds, G Richards, B de la Iglesia, VJ Rayward-Smith
Journal of Mathematical Modelling and Algorithms 5 (4), 475-504, 2006
Data mining rules using multi-objective evolutionary algorithms
B De La Iglesia, MS Philpott, AJ Bagnall, VJ Rayward-Smith
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 3, 1552-1559, 2003
Developments on a multi-objective metaheuristic (MOMH) algorithm for finding interesting sets of classification rules
B de la Iglesia, A Reynolds, VJ Rayward-Smith
International Conference on Evolutionary Multi-Criterion Optimization, 826-840, 2005
Performance of the ASSIGN cardiovascular disease risk score on a UK cohort of patients from general practice
B de la Iglesia, JF Potter, NR Poulter, MM Robins, J Skinner
Heart 97 (6), 491-499, 2011
A multi-objective GRASP for partial classification
AP Reynolds, B De la Iglesia
Soft Computing 13 (3), 227-243, 2009
The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification
B de la Iglesia, G Richards, MS Philpott, VJ Rayward-Smith
European Journal of Operational Research 169 (3), 898-917, 2006
Evolutionary computation for feature selection in classification problems
B De La Iglesia
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 3 (6 …, 2013
Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques.
B de la Iglesia, JCW Debuse, VJ Rayward-Smith
KDD, 44-49, 1996
On creating a patient-centric database from multiple Hospital Information Systems
J Bettencourt-Silva, B De La Iglesia, S Donell, V Rayward-Smith
Methods of information in medicine 51 (03), 210-220, 2012
Rule induction using multi-objective metaheuristics: Encouraging rule diversity
A Reynolds, B de la Iglesia
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
Using data mining techniques to predict students at risk of poor performance
Z Alharbi, J Cornford, L Dolder, B De La Iglesia
2016 SAI computing conference (SAI), 523-531, 2016
Clustering time series from mixture polynomial models with discretised data
AJ Bagnall, GJ Janacek, M Zhang
University of East Anglia, 2003
Building the kdd roadmap
JCW Debuse, B De la Iglesia, CM Howard, VJ Rayward-Smith
Industrial Knowledge Management, 179-196, 2001
A Comparison of Two Document Clustering Approaches for Clustering Medical Documents.
FH Saad, B de la Iglesia, DG Bell
DMIN, 425-431, 2006
Determining a unique defining DNA sequence for yeast species using hashing techniques
JJ Wesselink, B de la Iglesia, SA James, JL Dicks, IN Roberts, ...
Bioinformatics 18 (7), 1004-1010, 2002
Building data-driven pathways from routinely collected hospital data: a case study on prostate cancer
JH Bettencourt-Silva, J Clark, CS Cooper, R Mills, VJ Rayward-Smith, ...
JMIR medical informatics 3 (3), e26, 2015
Rule induction for classification using multi-objective genetic programming
A paul Reynolds, B de la Iglesia
International Conference on Evolutionary Multi-Criterion Optimization, 516-530, 2007
Non-linear dimensionality reduction for privacy-preserving data classification
K Alotaibi, VJ Rayward-Smith, W Wang, B de la Iglesia
2012 International Conference on Privacy, Security, Risk and Trust and 2012 …, 2012
BruteSuppression: a size reduction method for Apriori rule sets
J Hills, A Bagnall, B de la Iglesia, G Richards
Journal of intelligent information systems 40 (3), 431-454, 2013
A multiobjective GRASP for rule selection
AP Reynolds, DW Corne, B De la Iglesia
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
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