Contact Information:

Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa
Sala 8, Piso 2, ISEGI-UNL,
Campus de Campolide - 1070-124 LISBOA PORTUGAL
Telefone: +351 – 21 387 15 73 / 04 31 / 06 67
Fax: +351 – 21 387 21 40
email: bacao at isegi dot unl dot pt

Recent Publications:

  1. Jesus, F., Oliveira, T., Bacao F., Zahir, I., (2016) "Assessing the pattern between economic and digital development of countries”, Information Systems Frontiers, DOI: 10.1007/s10796-016-9634-1
  2. Jesus, F., Vicente, M., Bacao, F., Oliveira, T., (2016) “The education-related digital divide: An analysis for the EU-28”, Computers in Human Behavior, (Final version published online: 30-NOV-2015) pp. 72-82
  3. Aparicio, M., Bacao, F. & Oliveira, T. (2015) “An e-Learning Theoretical Framework”, Educational Technology & Society, ISSN 1436-4522 (online) and 1176-3647 (print). Available at: http://www.ifets.info/ets_journal/preprint.php 
  4. Hugo Costa, Hugo Carrão, Fernando Bação, Mario Caetano (2014) "Combining per-pixel and object-based classifications for mapping land cover over large areas", International Journal of Remote Sensing, Volume 35, Issue 2.
  5. Frederico Cruz-Jesus, Tiago Oliveira, Fernando Bacao (2012) "Digital Divide across the European Union", Information & Management 49 (6), 278-291.
  6. Henriques, R., F. Bacao and V. Lobo (2012). "Exploratory geospatial data analysis using the GeoSOM suite." Computers, Environment and Urban Systems 36(3): 218-232.
  7. Moreira, F., Catry, F.X., Rego, F., Bação, F. (2010) "Size-dependent pattern of wildfire ignitions in Portugal: where do big fires start?" Lanscape Ecology, Volume: 25, Issue: 9, Pages: 1405-1417.
  8. Catry, F. X., Rego, F. C., Bação, F., Moreira, F. (2009) “Modelling and mapping wildfire ignition risk in Portugal”. International Journal of Wildland Fire, Volume: 18, Issue: 8, Pages: 921-931.
  9. Eric Koomen, E., Rietveld, P., Bacao, F., (2009) “The third dimension in urban geography: the urban volume approach”. Environment and Planning B, Volume: 36, Issue: 6, Pages: 1008-1025.
  10. Henriques, R., Bação, F., Lobo, V., (2009) “Carto-SOM: cartogram creation using self-organizing maps”, International Journal of Geographical Information Science, Volume: 23, Issue: 4, Pages: 483-511.
  11. Peeters, L., Bação, F., Lobo, V., Dassargues, A., (2007) “Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen’s Self-Organizing Map”. Hydrology and Earth System Sciences, 11, 1309–1321, European Geosciences Union, Katlenburg-Lindau, Germany.
  12. Bação, F., Lobo, V., Painho, M. (2005) “Applying Genetic Algorithms to Zone Design”. Soft Computing, Vol. 9, Issue 5, Springer-Verlag Heidelberg, pp. 341-348. ISSN:1432-7643.
  13. Bação, F., Lobo, V., Painho, M. (2005) “The Self-Organizing Map, the Geo-SOM, and relevant variants for geosciences”. Computers and Geosciences, Vol. 31, Elsevier, pp 155-163
  14. Bacao, F., (2009) “Data Mining and Knowledge Discovery Technologies”. Online Information Review, Volume: 32, Issue: 6, Pages 866-867.
  15. Bação, F., Lobo, V., Painho, M. (2005) “Self-organizing Maps as Substitutes for K-Means Clustering”. In: V.S. Sunderam, G. van Albada, P. Sloot, J. J. Dongarra (Eds.), International Conference on Computational Science 2005. Lecture Notes in Computer Science, Vol. 3516. Springer-Verlag Berlin Heidelberg, pp. 476-483.

Research Statement:

My main areas of research interests relate to decision support systems and knowledge discovery, specifically I’m interested in the role of Self-organizing maps and information visualization in improving decision making and knowledge extraction. I’m also interested in the business value of IT and the role of Business Analytics in leveraging information for innovation and competitive advantage.

As part of my research work I’ve developed or helped developing a number of software pieces. The GeoSOM Suite is one of those. The GeoSOM Suite (developed with Roberto Henriques and Victor Lobo) enables users to experiment with different types of SOM’s and interactively access different types of analysis, and is freely available for download here.

Teaching:

  1. Information in the Contemporary Society (undergraduate)
  2. Data Mining (undergraduate)
  3. Data Mining (graduate)
  4. Web Analytics (undergraduate)
  5. Extract, Transform and Load Lab (undergraduate)