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Faculty

Dr Beatriz De La Iglesia

Beatriz De La Iglesia
Job Title Contact Location
Senior Lecturer  B dot Iglesia at uea dot ac dot uk
Tel: +44 (0)1603 59 2961  
Sciences 2.11 
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Career

From 1994 to 1995, Beatriz was employed by SYS (now CMP) as a teaching assistant. In the period from May 95 to January 97, she worked full-time as a Teaching Company Associate for a Teaching Company Scheme between the UEA and Norwich Union (now Aviva), developing Data Mining techniques and applying them to their problems. After that, she returned to university to work as a tutor lecturing on various courses.

As well as her teaching post, from October 1999 to December 2001, Beatriz had a half-time post as a senior research assistant in a bio-informatics project funded by a BBSRC grant.

She was appointed as a lecturer in health informatics in January 2002.

Academic Background

Beatriz moved to England from Spain in 1988. She obtained her first degree, a first class BSc Honours in Applied Computing, here at the University of East Anglia in 1994. After that Beatriz went on to do a part-time PhD under the supervision of Prof. Vic Rayward-Smith. During this period, she was part of the Mathematics and Algorithms (MAG) research group, and helped to form the Data Mining group. She obtained her PhD in September 2001. The subject of her research was data mining and in particular the extraction of partial classification rules or nuggets.

Key Research Interests

Beatriz De La Iglesia is part of the Knowledge Discovery and Data Mining Group and the Optimisation and Metaheuristics Group

Beatriz's research interests are the area of data mining algorithm development and application of data mining techniques ranging from financial data to biological and medical data.

In terms of algorithm development, she is interested in the adaptation of meta-heuristic and, in particular, multi-objective algorithms for classification and clustering tasks. This includes the development of novel algorithms such as GRAP in a multi-objective context; the application of such algorithms to specific data mining problems; the efficient representation and evaluation of data mining solutions in the multi-objective context and the improvements to solution quality by maintaining diversity in the Pareto front.

In terms of application, Beatriz is interested in mining heterogeneous medical data and all of the challenges that such task represent. For example, mining in the context of complex objects including text, structured data and images;  application of data mining techniques to large primary care datasets with large proportions of missing data; linking data in the secondary care setting in order to create patient-centric databases; knowledge representations that are acceptable in the clinical setting, etc.

Beatriz has also got experience of mining financial data, particularly in the context of general insurance and life insurance, but also credit card data, looking for business exploitable patterns.    
 


Research Group Members

  • Member of the organizing committee for the UK KDD Symposium, the Parallel Problem Solving from Nature (PPSN), Multi-criteria decision making (MCDM) and the International Data Mining conferences.
  • Keynote speech: B. de la Iglesia. Application of Multi-objective Metaheuristic Algorithms in Data Mining, Proceedings of the Third UK Knowledge and Data Mining Symposium (Invited Talk), Expert Update, Autumn 2007, Vol.9, No.3, ISSN: 1465-4091, 43-48, 2007.
  • Keynote speech: B. de la Iglesia. The business benefits of data and text mining. SAS Meeting. 2007.
  • Keynote speech: Beatriz de la Iglesia and Alan Reynolds, The use of metaheuristic algorithms for data mining, Proceedings of the First International Conference on Information and Communication Technologies, Keynote Address, Karachi, Pakistan, IEEE, August, 2005.

Past Research Projects and Grants

Project Title Start Date End Date Funding Body Project Members
CASE for new academic studentship 1/10/2004 30/9/2007 Effem Holdings Ltd Tony Bagnall, Beatriz de la Iglesia
Multi-objective meta-heuristic algorithms for finding interesting rules in large complex databases 1/9/2004 31/8/2007 EPSRC Beatriz de la Iglesia
Datamining Research for Gastroenterology Unit, Norfolk & Norwich Hospital 25/7/2004 24/8/2004 Norfolk & Norwich Healthcare NHS Trust Beatriz de la Iglesia
Analysis of endoscopic databases at two Suffolk hospitals 25/6/2004 24/7/2004 Norfolk, Suffolk & Cambs Health Authority Beatriz de la Iglesia
The Data Mining of Endoscopy Data 24/5/2004 23/6/2004 Norfolk, Suffolk & Cambs Health Authority Beatriz de la Iglesia
Lanner training course in KDD 17/2/2003 18/2/2003 Loader P Vic Rayward-Smith, Beatriz de la Iglesia, Craig Howard, George Smith

Number of items: 37.

Article

Hills, J, Bagnall, A, De La Iglesia, B and Richards, G (2013) BruteSuppression: a size reduction method for Apriori rule sets. Journal of Intelligent Information Systems. ISSN 0925-9902

De La Iglesia, B, Ong, ACL, Potter, JF, Metcalf, AK and Myint, PK (2012) Predictors of orthostatic hypotension in patients attending a transient ischaemic attack clinic: Database study. Blood pressure, Epub ahead of print. pp. 1-8. ISSN 1651-1999

Bettencourt-Silva, J, De La Iglesia, B, Donell, S and Rayward-Smith, V (2011) On creating a patient-centric database from multiple Hospital Information Systems in a National Health Service secondary care setting. Methods of Information in Medicine. pp. 6730-6737. ISSN 0026-1270

De La Iglesia, B, Potter, JF, Poulter, NR, Robins, MM and Skinner, J (2011) Performance of the ASSIGN cardiovascular disease risk score on a UK cohort of patients from general practice. Heart, 97 (6). pp. 491-499. ISSN 1355-6037

Reynolds, A and de la Iglesia, B (2009) A multi-objective GRASP for partial classification. Soft Computing - A Fusion of Foundations, Methodologies and Applications, 13 (3). pp. 227-243.

Saad, Fathi H., Bell, G. Duncan and de la Iglesia, Beatriz (2008) Classification techniques with minimal labelling effort and application to medical reports. International Journal of Data Mining and Bioinformatics, 2 (3). pp. 268-287. ISSN 1748-5673

de la Iglesia, Beatriz (2007) Application of multi-objective metaheuristic algorithms in data mining. Expert Update, 9 (3). p. 41. ISSN 1465-4091

de la Iglesia, B., Richards, G., Philpott, M. S. and Rayward-Smith, V. J. (2006) The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification. European Journal of Operational Research, 169 (3). pp. 898-917. ISSN 0377-2217

Reynolds, A. P., Richards, G., de la Iglesia, B. and Rayward-Smith, V. J. (2006) Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms. Journal of Mathematical Modelling and Algorithms, 5 (4). pp. 475-504. ISSN 1570-1166

Bangham, JA, de la Iglesia, B, Buratti, G and Montesi, D (2005) Data Model and Query Languages for Biological Databases. Multimedia Communications E-Letter of the IEEE Communications Society (2). pp. 7-10.

Wesselink, Jan-Jaap, de la Iglesia, Beatriz, James, Stephen A., Dicks, Jo L., Roberts, Ian N. and Rayward-Smith, Vic J. (2002) Determining a unique defining DNA sequence for yeast species using hashing techniques. Bioinformatics, 18 (7). pp. 1004-1010. ISSN 1367-4803

Book Section

Alotaibi, K, Rayward-Smith, V and De La Iglesia, B (2011) Non-metric Multidimensional Scaling for Privacy-Preserving Data Clustering. In: Intelligent Data Engineering and Automated Learning - IDEAL 2011. Spring, pp. 287-298.

Kirkland, O, Rayward-Smith, V and De La Iglesia, B (2011) A Novel Multi-Objective Genetic Algorithm for Clustering. In: Intelligent Data Engineering and Automated Learning - IDEAL 2011. Springer, pp. 317-326.

Saad, F., de la Iglesia, B. and Bell, G. D. (2006) Comparison of Documents Classification Techniques to Classify Medical Reports. In: Advances in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science, 3918 . Springer Berlin / Heidelberg, pp. 285-291. ISBN 978-3-540-33206-0

Richards, G. and de la Iglesia, B. (2005) Discovery of Classification Rules from Databases. In: Encyclopedia of Information Science and Technology. IGI Global, pp. 892-896. ISBN 9781591405535

Yi, H. Y., de la Iglesia, B. and Rayward-Smith, V. J. (2005) Using Concept Taxonomies for effective tree induction. In: Computational Intelligence and Security. Lecture Notes in Computer Science, 3802 . Springer Berlin / Heidelberg, pp. 1011-1016. ISBN 978-3-540-30819-5

de la Iglesia, B., Reynolds, A. P. and Rayward-Smith, V. J. (2005) Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules. In: Evolutionary Multi-Criterion Optimization. Lecture Notes in Computer Science, 3410 . Springer Berlin / Heidelberg, pp. 826-840. ISBN 978-3-540-24983-2

Reynolds, Alan P., Dicks, Jo L., Roberts, Ian N., Wesselink, Jan-Jap, de la Iglesia, Beatriz, Robert, Vincent, Boekhout, Teun and Rayward-Smith, Victor J. (2003) Algorithms for Identification Key Generation and Optimization with Application to Yeast Identification. In: Applications of Evolutionary Computing. Lecture Notes in Computer Science, 2611 . Springer-Verlag, pp. 95-104. ISBN 978-3-540-00976-4

de la Iglesia, B., Wesselink, J. J., Rayward-Smith, V. J., Dicks, J. L., Roberts, I. N., Roberts, V. and Boekhout, T. (2003) Developing Classification Techniques from Biological Databases using Simulated Annealing. In: Metaheuristics: Computer Decision-Making. Applied Optimization, 86 . Kluwer Academic Publishers, pp. 347-368. ISBN 978-1-4020-7653-4

de la Iglesia, B. and Rayward-Smith, V. J. (2002) The discovery of interesting nuggets using heuristic Techniques. In: Data Mining: a Heuristic Approach. Idea Group Publishing, London, pp. 72-96. ISBN 978-1930708259

Rayward-Smith, V. J., Debuse, J. C. W. and de la Iglesia, B. (2002) The Use of Modern Heuristic Algorithms for Mining Insurance Data. In: Handbook of Data Mining and Knowledge Discovery. Oxford University Press, pp. 849-856. ISBN 978-0195118315

Debuse, J. C. W., de la Iglesia, B., Howard, C. M. and Rayward-Smith, V. J. (2001) Building the KDD Roadmap: A Methodology for Knowledge Discovery. In: Industrial Knowledge Management. Springer-Verlag, pp. 179-196. ISBN 978-1-85233-339-3

Conference or Workshop Item

Reynolds, A. P., Corne, David W. and de la Iglesia, Beatriz (2009) A Multi-Objective GRASP for Rule Selection. In: Genetic and Evolutionary Computational Conference (Gecco 2009).

Reynolds, A. P. and de la Iglesia, B. (2007) Managing Population Diversity Through the Use of Weighted Objectives and Modified Dominance: An Example from Data Mining. In: Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MCDM 2007), 1-5 April 2007, Honolulu, HI.

Reynolds, Alan P. and de la Iglesia, Beatriz (2007) Rule Induction for Classification Using Multi-Objective Genetic Programming. In: Evolutionary Multi-Criterion Optimization 4th International Conference (EMO 2007), Matsushima, Japan.

Reynolds, A. P. and de la Iglesia, B. (2006) Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity. In: 2006 IEEE World Congress on Computational Intelligence and 2006 International Joint Conference on Neural Networks, 16-21 July 2006, Vancouver, BC.

Saad, F. H., de la Iglesia, B. and Bell, G. D. (2006) Effect of Document Representation on the Performance of Medical Document Classification. In: Proceedings of the 2006 International Conference on Data Mining (DMIN-06), June 26-29, 2006, Las Vegas, NV.

Saad, F.H., de la Iglesia, B. and Bell, G. D. (2006) A Comparison of Two Document Clustering Approaches for Clustering Medical Documents. In: Proceedings of the 2006 International Conference on Data Mining (DMIN-06), June 26-29, 2006, Las Vegas, NV.

de la Iglesia, B. and Reynolds, A. P. (2005) The use of meta-heuristic algorithms for data mining. In: Proceedings of the First International Conference on Information and Communication Technologies, Keynote Address, 27-28 Aug. 2005.

Reynolds, A. P., de la Iglesia, B., Bell, G. D., Cook, V. J. and Tighe, R. (2005) To be or not to be sedated? The effect of age and gender on an individual patient's likely decision. In: British Society of Gastroenterology Annual Meeting, 20 to 23 March, 2006, Birmingham.

Reynolds, A. P., de la Iglesia, B., Bell, G. D., Sheikh, K., Cook, V. J. and Tighe, R. (2005) Monitoring colonoscopy success rates and detecting changes in sedation practice using data mining and statistical techniques: Figures from a regional training centre. In: British Society of Gastroenterology Annual Meeting, 20 to 23 March, 2006, Birmingham.

Sheikh, K., Reynolds, A. P., de la Iglesia, B., Bell, G. D. and Tighe, R. (2005) Data mining techniques can be used to rapidly interrogate an endoscopy database and calculate 'adjusted' colonoscopy success or failure rates - but what criteria should be used to define such success? In: British Society of Gastroenterology Annual Meeting, 20 to 23 March, 2006, Birmingham.

de la Iglesia, B., Hsu, C., Bell, G. D. and Rayward-Smith, V. J. (2004) Data mining techniques applied to an Endoscopy Database: What Additional Information Might it Generate? In: British Society of Gastroenterology Annual Meeting, 21 to 24 March, 2004, Scottish Exhibition and Conference Centre, Glasgow.

de la Iglesia, B, Philpott, MS, Bagnall, AJ and Rayward-Smith, VJ (2003) Data Mining Rules Using Multi-Objective Evolutionary Algorithms. In: Proceedings of 2003 IEEE Congress on Evolutionary Computation, 8-12 December 2003, Canberra, Australia.

Bagnall, AJ, Janacek, GJ, de la Iglesia, B and Zhang, M (2003) Clustering Time Series from Mixture Polynomial Models with Discretised Data. In: Proceedings of the second Australasian Data Mining Workshop.

de la Iglesia, Beatriz (2002) Mining rules from a database according to multiple measures of interest. In: MOMH Multiple Objective Metaheuristic Workshop, November 4-5, 2002, Paris, France.

de la Iglesia, B., Debuse, J. C. W. and Rayward-Smith, V. J. (1996) Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques. In: 2nd International Conference on Knowledge Discovery and Data Mining (KDD-96).

This list was generated on Sat Apr 6 12:16:09 2013 BST.

External Activities and Indicators of Esteem

  • Member of the programme committee for the UK KDD Symposium, the Parallel Problem Solving from Nature (PPSN), Multi-criteria decision making (MCDM) , International Conference on Knowledge Discovery and Information Retrieval (KDIR/IC3K), the Pacific Asian KDD conference International Joint Conference on Neural Networks, the IEEE MultiCriteria Decision Making Conference, the International Data Mining conferences and the International Conference on Intelligent Data Engineering and Automated Learning (IDEAL).
  • Invited speaker: A presentation on Primary Care Data Analysis to the University of Birmingham, Department of Public Health and Epidemiology, in November 2010
  • Invited speaker: "Performance of the ASSIGN cardiovascular disease risk score on a UK cohort of patients from general practice". A talk to the Primary care database research at the London School of Hygiene and Tropical Medicine in March 2011.
  • Invited speaker: The business benefits of data and text mining. SAS Users Meetings 2007 and 2010.
  • Keynote speech: B. de la Iglesia. Application of Multi-objective Metaheuristic Algorithms in Data Mining, Proceedings of the Third UK Knowledge and Data Mining Symposium (Invited Talk), Expert Update, Autumn 2007, Vol.9, No.3, ISSN: 1465-4091, 43-48, 2007.
  • Keynote speech: Beatriz de la Iglesia and Alan Reynolds, The use of metaheuristic algorithms for data mining, Proceedings of the First International Conference on Information and Communication Technologies, Keynote Address, Krachi, Pakistan, IEEE, August, 2005.
  • Invited visiting lecturer: University of Bologna, Italy, 2010 and 2011.

Key Responsibilities

Director of the KDD MSc (UEA and Industry)
Admissions Deputy Director PGT
Director of PgT Programmes + Coursework Co-ordinator (PgT Students)
Induction Programme Director
Deputy Director of Learning and Teaching
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