Publications (selected)

Book Chapters

• Using data mining techniques to probe the role of hydrophobic residues in protein folding and unfolding simulations , C.G. Silva, P.G. Ferreira, P.J. Azevedo and R.M.M. Brito

  (in "Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions", Chapter XII, Editor: Pedro Nuno San-Banto Furtado, IDEA Group Publishing, Information Science Reference, ISBN: 978-1-60566-816-1, 2009).

• Deterministic Pattern Mining of Genetic Sequence , Pedro G. Ferreira and Paulo J. Azevedo

  (in "Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods and Techniques", Chapter XIII, Editors: E. Soria, J.D. Martín, R. Magdalena, M.Martínez, A.J. Serrano, IDEA Group Publishing, Information Science Reference, ISBN: 978-1-60566-766-9, 2009).

• A Methodology for Visual Exploration of Association Models , Alípio Jorge, João Poças, Paulo J. Azevedo

  (in "Visual Data Mining: Theory, Techniques and Tools for Visual Analytics", edited by S. Simoff, M.H.Böhlen, and A. Mazeika, pag 45-69, Springer-Verlag, LNCS State of the Art Surveys - Volume number 4404, 2008, ISSN 0302-9743 (Print) 1611-3349 (Online)).

• Deterministic Motif Mining in Protein Databases , Pedro Gabriel Ferreira and Paulo Jorge Azevedo

  (in "Successes and New Directions in Data Mining", Chapter VI, IDEA Group Publishing 2007, HardCopy ISBN:1-59904-645-8, Ebook: 1-59904-647-4).

Journal

• Social network analytics and visualization: Dynamic topic-based influence analysis in evolving micro-blogs , Shazia Tabassum, , João Gama, Paulo J. Azevedo, Mario Cordeiro, Carlos Martins, Andre Martins

  (in Expert System , John Wiley and Sons, Ltd, e13195, November 2022).

• Subgroup mining for performance analysis of regression models, João Pimentel, Paulo J. Azevedo, Luís Torgo

  (in Expert System , vol 40, issue 1, John Wiley and Sons, Ltd, e13118, August 2022).

• Beyond Average Performance--exploring regions of deviating performance for black box classification models, Luís Torgo, Paulo J. Azevedo, Inês Areosa

  (in arXiv preprint arXiv:2109.08216, 2021).

• Discovering a Taste for the Unusual - Exceptional Models for Preference Mining, Cláudio Sá, Wouter Duivesteijn, Paulo J. Azevedo, Alípio Mário Jorge, Carlos Soares and Arno Knobbe

  (in Machine Learning , Vol 107, Issue 11, Springer US November 2018, ISSN 1573-0565).

• Preference Rules for Label Ranking: Mining Patterns in Multi-Target Relations , Cláudio Sá, Paulo J. Azevedo, Carlos Soares, Alípio Mário Jorge and Arno Knobbe

  (in Information Fusion, Vol 40, March 2018, pag 112-125, Elsevier , ISSN 1566-2535).

• Automatically Estimating iSAX Parametes , Nuno C. Castro and Paulo J. Azevedo

  (in Intelligent Data Analysis: An International Journal, Volume 19 (3), 2015, IOS Press, ISSN: 1088-467X).

• Contrast set mining in temporal databases , André Magalhães and Paulo J. Azevedo

  ( in Expert Systems , 32(3): 435-443 (2015), John Wiley and Sons).

• Significant Motifs in Time Series , Nuno C. Castro and Paulo J. Azevedo

  ( in Statistical Analysis and Data Mining, Volume 5, Issue 1, pages 35–53, February 2012, John Wiley and Sons).

• Optimal Leverage Association Rules with Numerical Interval Conditions , Alípio Mário Jorge and Paulo J. Azevedo

  (in Intelligent Data Analysis: An International Journal, Volume 16 (1), IOS Press, ISSN: 1088-467X, 2012).

• Ensembles of Jittered Association Rule Classifiers, Paulo J. Azevedo and Alípio Mário Jorge

  (in Journal of Data Mining and Knowledge Discovery, Vol 21 (1), pag 91-129, July 2010, ISSN: 1384-5810 (print version), ISSN: 1573-756X (electronic version) Journal no. 10618, Springer, 2010).

• Rules for Contrast Sets, Paulo J. Azevedo

  (in Intelligent Data Analysis: An International Journal, Volume 14 (6), pag 623-640, IOS Press, ISSN: 1088-467X, 2010).

• Evaluating deterministic motif significance measures in protein databases , Pedro Gabriel Ferreira and Paulo J Azevedo

  (in journal Algorithms for Molecular Biology 2007, 2:16).

• Magic Sets with Full Sharing , Paulo J Azevedo

  (in Journal of Logic Programming, Vol 30, No 3, pag 223-237, March 1997, ELSEVIER SCIENCE INC).

• A Proof Procedure based on Recomputation-Free Lemmatization , Paulo J Azevedo and Marek J. Sergot

  (in Journal of Computers and Artificial Intelligence, Vol 13, No 2-3, pag 257-273, 1994, SLOVAK ACADEMIC PRESS LTD, PO BOX 57, NAM SLOBODY 6, 810 05 BRATISLAVA, SLOVAKIA).

Conferences

2021

• Dynamic Topic Modeling Using Social Network Analytics, Shazia Tabassum, João Gama, Paulo Azevedo, Luis Teixeira, Carlos Martins, Andre Martins

  (in EPIA Conference on Artificial Intelligence, pag 498-509, Springer, 2021)

2020

• Sequence mining for automatic generation of software tests from GUI event traces, Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana CR Paiva, Paulo J Azevedo

  (in International Conference on Intelligent Data Engineering and Automated Learning, pag 516-523, Springer, 2020).

2014

• Classifying heart sounds using SAX motifs, random forests and text mining techniques, Elsa Ferreira Gomes, Alípio Mário Jorge, Paulo J. Azevedo

  (in 18th International Database Engineering & Applications Symposium, IDEAS 2014: 334-337)

2013

• Classifying heart sounds using multiresolution time series motifs: an exploratory study , Elsa Ferreira Gomes, Alípio Mário Jorge, Paulo J. Azevedo

  (in International Conference on Computer Science & Software Engineering, C3S2E13, Porto, Portugal - July 10 - 12, 2013. ACM 2013 ISBN 978-1-4503-1976-8)

• Multi-interval Discretization of Continuous Attributes for Label Ranking , Cláudio Rebelo de Sá, Carlos Soares, Arno J. Knobbe, Paulo J. Azevedo, Alípio Mário Jorge

  (in Discovery Science - 16th International Conference, DS 2013, Singapore, October 6-9, 2013. Proceedings. Springer 2013 Lecture Notes in Computer Science ISBN 978-3-642-40896-0)

• Mining Discrimination Patterns along Temporal Databases , André Magalhães & Paulo J. Azevedo

  (in EPIA 2013, 16th Portuguese Conference on AI, Angra do Heroismo, Azores, Portugal, 9-12 September 2013.

2012

• Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules , Alípio M. Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares and Paulo J. Azevedo

  (in Proceedings 11th International Symposium, IDA 2012, Advances in Intelligent Data Analysis XI - Springer LNCS 7619, Helsinki, Finland, October 25-27, 2012).

2011

• Mining Association Rules for Label Ranking , Cláudio Sá, Carlos Soares, Alípio M. Jorge, Paulo J. Azevedo and Joaquim Pinto da Costa

  (in Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, 24-27 May, Shenzhen, China).

• Time Series Motifs Statistical Significance , Nuno Castro and Paulo J. Azevedo

  [Best Student Paper Award]

  (in Proceedings of the SIAM International Conference on Data Mining, SDM 2011, April 28-30, Mesa, Arizona, USA).

2010

• Multiresolution Motif Discovery in Time Series , Nuno Castro and Paulo J. Azevedo

  (in Proceedings of the SIAM International Conference on Data Mining, SDM 2010, April 29 - May 1, 2010, Columbus, Ohio, USA).

2008

• Spatial Clustering of Molecular Dynamic Trajectories in Protein Unfolding Simulations , Pedro Gabriel Ferreira, Cândida Silva, Paulo J. Azevedo and Rui M. M. Brito

  (in Computational Intelligence Methods for Bioinformatics and Biostatistics 5th International Meeting, CIBB 2008 Vietri sul Mare, Italy, October 3-4, 2008 Revised Selected Papers, Lecture Notes in Computer Science Subseries: Lecture Notes in Bioinformatics , Vol. 5488 Masulli, Francesco; Tagliaferri, Roberto; Verkhivker, Gennady M. (Eds.) 2009, XI, ISBN: 978-3-642-02503-7).

2007

• Comparing Rule Measures for Predictive Association Rules, Paulo J. Azevedo and Alípio Jorge

  (in Proceedings of the 18th European Conference on Machine Learning (ECML'07), Eds Joost N. Kok and Jacek Koronacki and Ramon López de Mántaras and Stan Matwin and Dunja Mladenic and Andrzej Skowron, Warsaw - Poland, September 2007, pag 510-517, LNAI 4701, Springer-Verlag).

• Iterative Reordering of Rules for Building Ensembles without Relearning, Paulo J. Azevedo and Alípio Jorge

  (in Proceedings of the 10th International Conference on Discovery Science, Eds Vincent Corruble and Masayuki Takeda and Einoshin Suzuki, Sensai - Japan, October 2007, pag 56-67, LNAI 4755, Springer-Verlag).

• Evaluating Protein Motif Signicance Measures: A Case Study on Prosite Patterns, Pedro Gabriel Ferreira and Paulo Azevedo

  (in Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining - CDIM 2007, pag 171-178, Hawai, USA 2007).

• A Closer Look on Protein Unfolding Simulations through Hierarchical Clustering , Pedro Gabriel Ferreira, Cândida Silva, Rui Brito, Paulo J. Azevedo

  (in Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology - CIBCB 2007, pag 461-468, Hawai, USA 2007)

2006

• Query Driven Sequence Pattern Mining , Pedro Gabriel Ferreira and Paulo Azevedo

  (in Proceedings of the 11th Simposio Brasileiro de Bancos de Dados, Florianopolis - Brasil, October 2006, pag 1-15, Eds Mario A. Nascimento, pag 1-15, Publisher UFSC, ISBN 85-7669-082-9).

• Mining Approximate Motifs in Time Series , Pedro Gabriel Ferreira, Paulo Azevedo, Candida Silva, Rui Brito

  (in Proceedings of the 9th International Conference on Discovery Science, Eds Todorovski, Lavrac, Jantke, Barcelona, October 2006, pag 89-101, LNAI 4265, Springer-Verlag).

• Visual Interactive Subgroup Discovery with numerical properties of interest , Alipio Jorge, Fernando Pereira, Paulo Azevedo

  (in Proceedings of the 9th International Conference on Discovery Science, Eds Todorovski, Lavrac, Jantke, Barcelona, October 2006, pag 301-305, LNAI 4265, Springer-Verlag).

• Distribution Rules with numeric attributes of interest , Alipio Jorge, Paulo Azevedo, Fernando Pereira

  (in Proceedings of the 10th European Conference on Principles and practice of Knowledge Discovery in Databases, Eds Furnkranz, Scheffer, Spiliopoulou, Berlin-Germany, September 2006, pag 247-258, LNAI 4213, Springer-Verlag).

2005

• A Data Structure to Represent Association Rules based Classifiers , Paulo J. Azevedo

  (Technical Report, Departamento de Informática, Universidade do Minho, 2005)

• Detection of Hydrophobic Clusters in Molecular Dynamics Protein Unfolding Simulations using Association Rules , Paulo Azevedo, Candida Silva, Rui Rodrigues, Nuno Ferreira, Rui Brito

  (in Proceedings of the 6th International Symposium on Biological and Medical Data Analysis, Eds Oliveira, Maojo, Martin-Sanchez, Pereira, pag 329-337, LNCS 3745,Springer Verlag, Aveiro - Portugal, November 2005).

• An experiment with Association rules and Classification: Post-Bagging and Conviction , Alipio Jorge and Paulo Azevedo

  (in Proceedings of the 8th International Conference on Discovery Science, Eds Hoffmann, Motoda, Scheffer, Singapore, October 2005, pag 137-149, LNAI 3735, Springer-Verlag).

• Protein Sequence Classification through Relevant Sequence Mining and Bayes Classifiers , Pedro Gabriel Ferreira and Paulo Azevedo

  (in Proceedings of the 12th Portuguese Conference on Artificial Intelligence, Eds Bento, Cardoso, Dias, Covilha-Portugal, December 2005, pag 236-247, LNAI 3808, Springer-Verlag).

• Protein Sequence Pattern Mining with Constraints , Pedro Gabriel Ferreira and Paulo Azevedo

  (in Proceedings of the 9th European Conference on Principles and practice of Knowledge Discovery in Databases, Eds Jorge, Torgo, Brazdil, Gama, Porto-Portugal, October 2005, pag 96-107, LNAI 3721, Springer-Verlag).

2003

• Model-based collaborative filtering for team building support , Alipio Jorge, Miguel Veloso, Paulo Azevedo

  (in ICES'03, 6th International Conference on Enterprise Information Systems, Porto-Portugal, Dezembro 2003).

• CAREN - A java based Apriori implementation for Classification purposes, Paulo J Azevedo

  (Research Report, DI - Universidade do Minho, January 2003).

2002

• A post-processing environment for Browsing large sets of association rules , Alipio Jorge, J. Pocas, Paulo Azevedo

  (in Proceedings of workshop on Integration Aspects of Decision Support, Data Mining and Meta Learning, IDDM 02, ECML/PKDD 02, Helsinki. Also in Proceedings of workshop on Visual Data Mining VDM@ECML 02, ECML/PKDD 02, Helsinki 2002).

• Post-processing operators for browsing large sets of association rules , Alipio Jorge, J. Pocas, Paulo Azevedo

  (in Proceedings of International Conference in Discovery Science - DS'02, Eds Labge, Satoh, Smith, Luebeck, Germany, pag 414-421, LNAI 2534, Springer-Verlag, 2002).

• Recommendation with Association Rules: A web mining application , Alipio Jorge, Mário Alves, Paulo Azevedo

  (in Proceedings of Data Mining and Warehouses, a sub-conference of Information Society 2002, Ljubljana, Slovenia 2002).

2001-...

• Demand Driven Tabulation, Paulo J Azevedo

  (in Proceedings of the Workshop in Tabling and LP - under the International Conference on Logic Programming 1997, pag 1-11)

• Magic Sets with Full Sharing , Paulo J Azevedo

  Research Report, DI - Universidade do Minho, 1996.