Cláudia Antunes website | Instituto Superior Técnico

Contacts

Name:	Cláudia Antunes
E-mail:	claudia dot antunes at ist dot utl dot pt
Google Scholar:	http://scholar.google.com/citations?hl=en&user=yQPwt38AAAAJ
Microsoft Academic Search:	http://academic.research.microsoft.com/Author/23648308/claudia-antunes
DBLP:	http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/a/Antunes:Cl=aacute=udia.html

Academic Degrees

PhD in Computers and Software Engineering, at Instituto Superior Técnico, Technical University of Lisbon, January 2005.
Masters Degree in Computers and Software Engineering, at Instituto Superior Técnico, Technical University of Lisbon, April 2001.
Graduation in Computers and Software Engineering, at Instituto Superior Técnico, Technical University of Lisbon, September 1998.

Scientific Activity

Area

Knowledge Discovery and Data Mining
Artificial Intelligence and Intelligent Systems

Domain of specialization

Sequential pattern mining

Data Mining

Cláudia Antunes has concluded her PhD in the domain of data mining and machine learning, proposing new methods and methodologies for dealing with temporal data, in particular for mining event sequential patterns. In her thesis, she argued that “It is possible to efficiently use constrained sequential pattern mining algorithms over nominal temporal data to discover unknown information, keeping the process centered on the user.” For proving her claim, she introduced the concept of constraint relaxation and proposed methods for mining frequent patterns in the presence of domain knowledge, represented as a context-free language.

Main research interests

Domain driven data mining (D3M)
Semantic aspects of data mining
Mining complex knowledge from complex data
Structured pattern mining
Temporal data mining
Educational data mining

In order to address new problems, Cláudia has been working on methods for general pattern mining, from transactional to structured data. Her main interests are centered on mining complex knowledge from complex data, with emphasis on the incorporation of background knowledge in the pattern mining process. Her recent work is around the usage of domain ontologies to represent that knowledge, and she has been working on methods to efficiently mine patterns, guided by that knowledge.
More recently (2008), educational data mining bring new challenges that under Cláudia’s perspective can be addressed efficient and with efficacy by pattern mining methods. In this manner, Cláudia is privileging this domain to test her new methods.

Research Projects

D2PM	Scientific coordinator	Project funded by FCT, under the grant PTDC/EIA-EIA/110074/2009
educare	Scientific coordinator	Project funded by FCT, under the grant PTDC/EIA-EIA/110058/2009

2014
Publications
	Rui Henriques, Cláudia Antunes. Learning Predictive Models from Integrated Healthcare Data: Extending Pattern-based and Generative Models to Capture Temporal and Cross-Attribute Dependencies. In Hawai International Conference on System Sciences (HICSS 2014). IEEE Computer Science. Waikoloa, Hawaii, USA. January 2014
2013
	Pedro Crespo, Cláudia Antunes. Predicting Teamwork Results from Social Network Analysis. In Expert Systems, Special Issue on Recommender systems for and in social and online learning environments, vol. , pp. -. Wiley-Blackwell. June 2013
	Andreia Silva, Cláudia Antunes. Towards the integration of Constrained Mining with Star Schemas. In Proceedings of the Sixth International Workshop on Domain Driven Data Mining, in the International Conference on Data Mining (DDDM@ICDM 2013), pp. . IEEE Press. Dallas, TX, USA. December, 2013. ISBN:
	Andreia Silva, Cláudia Antunes. Pushing Constraints into a Pattern-Tree. In Proceedings 10th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2013), LNCS vol. , pp. . Springer. Girona, Spain. November 2013. ISBN:
	Rui Henriques, Sara Madeira, Cláudia Antunes. IndexSpan: Efficient Discovery of Item-Indexable Sequential Patterns. In Workshop on New Frontiers on Mining Complex Patterns, in International Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2013). Prague, Czech Republic. September 2013
	Rui Henriques, Sara Madeira, Cláudia Antunes. F2G: Efficient Discovery of Full-Patterns . In Workshop on New Frontiers on Mining Complex Patterns, in International Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2013). Prague, Czech Republic. September 2013
	Sílvia Pina, Cláudia Antunes. (TD)2PaM: a constraint-based algorithm for mining temporal patterns in transactional databases. In 16th Portuguese Conference on Artificial Intelligence (EPIA 2013), LNCS vol. 8154, pp. 390-407. Springer. Angra do Heroísmo, Portugal. September 2013. ISBN
	Andreia Silva, Cláudia Antunes. Pushing Constraints into Data Streams. In Proceedings 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2013, in the ACM International Conference on Knowledge Discovery and Data Mining (BigMine@KDD 2013), pp. 79-86. Chicago, IL, USA. August 2013.
	Rui Henriques, Ana Paiva, Cláudia Antunes. Accessing Emotion Patterns from Affective Interactions using Electrodermal Activity. In Affective Computing and Intelligent Interaction (ACII 2013). Geneve, Switzerland. September, 2013. ISBN
	Rui Henriques, Sílvia Pina, Cláudia Antunes. Temporal Mining of Integrated Healthcare Data: Methods, Revealings and Implications. . In Workshop Data Mining for Medicine and Healthcare at SIAM International Conf on Data Mining (DMMH@SDM 2013), pp. 52-60. Austin, USA. April 2013. ISBN
	André V. Carreiro, Susana Pinto, Mamede de Carvalho, Sara C. Madeira, Cláudia Antunes. Classification of Clinical Data using Sequential Patterns: A case study in Amyotrophic Lateral Sclerosis.. In Workshop Data Mining for Medicine and Healthcare at SIAM International Conf on Data Mining (DMMH@SDM 2013), pp. 61-69. Austin, USA. April 2013. ISBN
2012
	Andreia Silva, Cláudia Antunes. Finding Patterns in Large Star Schemas at the Right Aggregation Level. In Proceedings 9th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2012), LNCS vol. 7647, pp. 329-340. Springer. Girona, Spain. November 2012. ISBN: 978-3-642-34619-4
	Andreia Silva, Cláudia Antunes. Semi-Supervised Clustering: A Case Study. In Proceedings of the International Conference on Machine Learning and Data Mining (MLDM'12), Vol. 7376, pp. 252-263. Springer. Berlin, Germany. July 2012. ISBN: 978-3-642-31537-4
	Rui Henriques, Ana Paiva, Cláudia Antunes. On the need of new methods to mine electrodermal activity in emotion-centered studies. In Proceedings 8th International Workshop on Agents and Data Mining Interaction in the 11th International Conference on Autonomous Agents and Multiagent Systems (ADMI@AAMAS 2012), LNCS vol. 7607, pp. 203-215. Springer. Valencia, Spain. June 2012. ISBN: 978-3-642-36287-3
	Pedro Crespo, Cláudia Antunes. Social Networks Analysis for Quantifying Students’ Performance in Teamwork. In Proceedings of the International Conference in Educational Data Mining (EDM 2012). Pp. 234-235. Chania, Greece. June 2012
	Andreia Silva, Cláudia Antunes. Mining Patterns from large Star Schemas based on Streaming Algorithms. In Roger Lee (ed.), Computer and Information Science 2012, Studies in Computation Intelligence vol. 429, pp. 139-150. Springer. Shanghai, China. June 2012. ISBN:978-3-642-30453-8
	Rui Henriques, Cláudia Antunes. On the need of new approaches for the novel problem of long-term prediction over multi-dimensional data. In Roger Lee (ed.), Computer and Information Science 2012, Studies in Computation Intelligence vol. 429, pp. 121-138. Shanghai, China. June 2012. ISBN:978-3-642-30453-8
	Cláudia Antunes, Tiago Bebiano. Mining Patterns with Domain Knowledge: a case study on multi-language data. In International Conference on Information Systems (ACIS ICIS 2012), pg. 167-172. IEEE Press. Shanghai, China. June 2012. ISBN:978-0-7695-4694-0
	Carlos Jacinto, Cláudia Antunes. User-driven Ontology Learning from Structured Data. In International Conference on Information Systems (ACIS ICIS 2012), pg. 184-189. IEEE Press. Shanghai, China. June 2012. ISBN:978-0-7695-4694-0
	Rui Henriques, Cláudia Antunes. An integrated approach for healthcare planning over dimensional data using long-term prediction. In 1st International Conference on Health Information Science (HIS 2012), pg. 36-48. Springer. Beijing, China. April 2012. ISBN:978-0-642-29360-3
2011
	Andreia Silva, Cláudia Antunes. Mining Stars with FP-Growth: a case study on bibliographic data. In International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Volume: 19, Supplementary Issue 1, pg. 65-91. World Scientific Publishing Company. 2011. ISBN: 0218-4885
	João Botelho, Cláudia Antunes. Combining Social Network Analysis with Semi-supervised Clustering: a case study on fraud detection. In Proceedings International Workshop on Mining Data Semantics in the ACM International Conference on Knowledge Discovery and Data Mining (MDS@KDD 2011). San Diego, USA. August, 2011
	Joana Barracosa, Cláudia Antunes. Anticipating Teachers' Performance. In Proceedings International Workshop on Knowledge Discovery on Educational Data in the ACM International Conference on Knowledge Discovery and Data Mining (KDinED@KDD 2011). San Diego, USA. August, 2011
	Joana Barracosa, Cláudia Antunes. Mining Teaching Behaviors from Pedagogical Surveys. In Proceedings 4th International Conference in Educational Data Mining (EDM 2011), pg. 329-330. Eindhoven, The Netherlands. July, 2011. ISBN 978-90-386-2537-9.
2010
	Cláudia Antunes. Anticipating student's failure as soon as possible. In Cristóbal Romero, Sebastián Ventura, Mykola Pechenizkiy and Ryan Baker, Handbook for Educational Data Mining, pg. 353-363. Chapman & Hall/CRC Press. ISBN: 978-1-4398-0457-5
	Andreia Silva, Cláudia Antunes. Pattern Mining on Stars with FP-Growth. In Proceedings 7th International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2010), LNCS 6408, pg. 175-186. Springer. Perpignan, France. October, 2010. ISBN: 978-3-642-16291-6
	Bodhisattwa Gangopadhyay, Artur Miguel do Amaral Arsenio,Cláudia Antunes. Comparative Study of Pattern Mining Techniques for Network Management System Logs for Convergent Network. In Proceedings 2nd International Conference on Data Engineering and Management (ICDEM 2010), LNCS 6411, pg. - . Springer. Tiruchirappalli, India. July, 2010. ISBN:
	Pedro Sequeira, Cláudia Antunes. Real-time Sensory Pattern Mining for Autonomous Agents. In Proceedings 6th International Workshop on Agents and Data Mining Interaction in the 9th International Conference on Autonomous Agents and Multiagent Systems (ADMI@AAMAS 2010), LNCS 5980, pg. 71-83. Springer. Toronto, Canada. May, 2010. ISBN: 978-3-642-15419-5
2009
	Cláudia Antunes. Pattern Mining over Star Schemas in the Onto4AR Framework. In Proceedings of the Second International Workshop on Semantic Aspects in Data Mining in the International Conference on Data Mining (SADM@ICDM 2009), pg. 453-458. IEEE Press. Miami, USA. December, 2009. ISBN:978-0-7695-3902-7
	Cláudia Antunes. Mining Models for Failing Behaviors. In Proceedings of the International Conference of Intelligent Systems Design and Applications (IEEE ISDA 2009), pg. 1102-1107. IEEE Press. Pisa, Italy. December 2009. ISBN:978-0-7695-3872-3
	Ana Mendes, Cláudia Antunes. Pattern Mining with Natural Language Processing: An exploratory approach. In Proceedings of the International Conference on Machine Learning and Data Mining (MLDM 2009), LNCS 5632, pg. 266-279. Springer. Leipzig, Germany. July 2009. ISBN: 978-3-642-03069-7
	Cláudia Antunes. Mining Patterns in the Presence of Domain Knowledge, in Proceedings of International Conference on Enterprise Information Systems (ICEIS 2009), pg. 188-193. INSTICC. Milan, Italy. May, 2009. ISBN: 978-989-8111-85-2
2008
	Cláudia Antunes. Acquiring Background Knowledge for Intelligent Tutoring Systems. In Baker, Barnes and Beck (eds.), Educational Data Mining 2008, pg. 18-27. Montreal, Canada. July 2008. ISBN:10: 0615306292
	Cláudia Antunes. An Ontology-based Framework for Mining Patterns in the Presence of Background Knowledge. In Proceedings of International Conference on Advanced Intelligence (ICAI 2008), pg. 163-168. Post and Telecom Press. Beijing, China. October 2008. ISBN: 978-7-115-14504-8
2007
	Cláudia Antunes. Temporal Pattern Mining Using a Time Ontology, in José Neves, Manuel Santos e José Machado (eds.), New Trends in Artificial Intelligence, pg. 23-34. Guimarães, Portugal. December 2007. ISBN-13 978-989-95618-0-9.
	Cláudia Antunes. Onto4AR: a framework for mining association rules, in Workshop on Constraint-Based Mining and Learning in the International Conference on Principles and Practice of Knowledge Discovery in Databases (CMILE@PKDD 2007). Warsaw, September 2007.
	Cláudia Antunes. Mining rules in the Onto4AR framework for updating domain ontologies, in Proceedings of IADIS European Conference on Data Mining (ECDM 2007), pg. 95-101. IADIS Press. Lisbon, July 2007. ISBN: 978-972-8924-40-9
2005
	Cláudia, A.L. Oliveira. Constraint Relaxations for Discovering Unknown Sequential Patterns, in Bart Goethals, Arno Siebes (eds.), Knowledge Discovery in Inductive Databases: Third International Workshop, KDID 2004 (Revised Selected and Invited Papers), LNCS 3377, pg. 11-32. Springer, 2005. ISBN: 3-540-25082-4
	Cláudia Antunes. Pattern Mining over Nominal Event Sequences using Constraint Relaxations. PhD dissertation, Lisbon, January 2005.
2004
	Cláudia Antunes, A.L. Oliveira. Mining Patterns Using Relaxations of User Defined Constraints, in Workshop in Knowledge Discovery in Inductive Databases in the International Conference on Principles and Practice of Knowledge Discovery in Databases (KDID@PKDD 2004). Pisa, September 2004.
	Cláudia Antunes, A.L. Oliveira. Sequential Pattern Mining Algorithms: trade-offs between speed and memory, in Workshop on Mining Graphs, Trees and Sequences in the International Conference on Principles and Practice of Knowledge Discovery in Databases (MGTS@PKDD 2004). Pisa, September 2004.
	Cláudia Antunes, A.L. Oliveira. Sequential Pattern Mining with Approximated Constraints, in Proceedings of IADIS Applied Computing Conference (AC 2004), pg. 131-138. IADIS Press. Lisbon, March 2004. ISBN; 972-98947-3-6
2003
	Cláudia Antunes, A.L. Oliveira. Generalization of Pattern-growth Methods for Sequential Pattern Mining with Gap Constraints, in Proceedings of 6th International Conference on Machine Learning and Data Mining (MLDM'03), LNCS 2734, pg. 239-251. Springer. Leipzig, July 2003. ISBN: 3-540-40504-6
2002
	Cláudia Antunes, A.L. Oliveira. Inference of Sequential Association Rules Guided by Context-Free Grammars, in Proceedings 6th International Conference on Grammatical Inference (ICGI 2002), LNCS 2484, pg. 1-13. Amsterdam, September 2002. ISBN: 3-540-44239-1
	Cláudia Antunes, A.L. Oliveira. Using Context-Free Grammars to Constrain Apriori-based Algorithms for Mining Temporal Association Rules, in Workshop on Temporal Data Mining in the ACM International Conference on Knowledge Discovery and Data Mining (TDM@KDD 2002), pg.11-24. Edmonton, July 2002.
2001
	Cláudia Antunes, A.L. Oliveira. Temporal Data Mining: an overview, in Workshop on Temporal Data Mining in the ACM International Conference on Knowledge Discovery and Data Mining (TDM@KDD 2001). San Francisco, September 2001.
	Cláudia Antunes. Knowledge Acquisition System to Support Low Vision Consultation. MSc dissertation (in Portuguese), Lisbon, April 2001.
	Cláudia Antunes, J.P. Martins. Knowledge Acquisition System to Support Low Vision Consultation, in Proceedings 8th European Conference on Artificial Intelligence in Medicine (AIME 2001), LNCS 2101, pg. 332-338. Cascais, July 2001. ISBN: 3-540-42294-3
2000
	Cláudia Antunes, M.C. Neves, J.P. Martins, A. Castanheira-Dinis. A Distributed System to Support Low Vision Consultation, in Proceedings 4th European Conference on Low Vision (Eurosight 2000). Eindhoven, September 2000.
	Cláudia Antunes, M.C. Neves, J.P. Martins, A. Castanheira-Dinis. An Integrated System to Support Low Vision Consultation, in Proceedings 5th Portuguese Conference on Biomedical Engineering (BioEng 2000). Coimbra, May 2000.
	Cláudia Antunes, I. Lynce, J.M. Pereira, J.P. Martins. Realidade Virtual em Subvisão (in Portuguese), in Proceedings 9th Encontro Nacional de Computação Gráfica (EPCG 2000). Marinha Grande, February 2000.
	M.C. Neves, Cláudia Antunes, I. Lynce, A. Castanheira-Dinis, J. Ribeiro-da-Silva, J.P. Martins. A Computer-Based Assessment and Rehabilitation of Visual Function in Low Vision Children, in Stuen, C., A. Arditi, A. Horowitz, M.A. Lang, B. Rosenthal and K. Seidman (eds.), Vision Rehabilitation, Assessment, Intervention, and Outcomes, pg. 376-379. Swets & Zeitlinger Publishers. 2000. ISBN: 978-9026516313

Supervising experience
PhD dissertations
Since 2009	Domain Driven Pattern Mining for Multi Language Data, by Andreia Silva	Supervision	In progress
Since 2011	Structured Pattern-based Classification of Evolutionary Systems, by Rui Henriques	Supervision	In progress
MS dissertations
2012-13	Pattern Mining through Cloud Computing, by Simão Martins	Supervision	In progress
2012-13	Business Intelligence for NoSQL Databases, by José Granjo	Supervision	In progress
2012-13	Temporal constraints for mining transactional patterns, by Sílvia Pina	Supervision	In progress
2012-13	Social networks exploration for educational data mining, by Pedro Crespo	Supervision	In progress
2010-11	Descoberta de padrões em dados multi-língua, by Tiago Bebiano	Supervision	Concluded
2009-11	Anticipating Failure in the Educational Context, by Jorge Lima	Supervision	Concluded
2009-11	Pattern Mining for Improving Networks Security, by Nuno Afonso	Supervision	Concluded
2009-11	Mining Behaviors from Educational Data, by Joana Barracosa	Supervision	Concluded
2009-11	Mining Curricular Units, by Ricardo Nobre	Supervision	Concluded
2009-10	Crossing Financial Time Series Evolution with Domain Knowledge , by André Louçã	Supervision	Concluded
2009-10	Ontology Learning from Structured Data, by Carlos Jacinto	Supervision	Concluded
2008-09	Mining Patterns on Bibliographic Records, by Andreia Silva, in the context of the TELplus research project	Supervision	Concluded
2008-09	Combining Semi-Supervised Clustering and Social Network Analysis: A Case Study on Fraud Detection, by João Botelho, in cooperation with Novabase Business Intelligence coorporation	Supervision	Concluded
2008-09	Classification for Fraud Detection with Social Network Analysis, by Miguel Pironet, in cooperation with Novabase Business Intelligence coorporation	Supervision	Concluded
2007-08	SISMAC: Sistema de Monitoria de Alterações Climáticas, by Marco Calapez	Supervision	Concluded
2006-07	AR Enrichment – identificação de fragmentos moleculares utilizando conhecimento de domínio, by Rita Chapouto	Supervision	Concluded
2006-07	Algoritmos para Geração de Hipercubos, by Rui Chapouto	Supervision	Concluded
Graduation final works
2005-06	Mobile Data Mining, by Frederico Pires and João Reis	Supervision	Concluded
2004-05	Sistema de Análise de Percursos Académicos, by Cláudia Valentim	Supervision	Concluded
2003-04	Paralelização de Algoritmos de Descoberta de Padrões em Sequências, by Luís Coelho	Co-advisor	Concluded
2003-04	Sistema de Apoio à Decisão para o INESC-ID, by João Costa and Ricardo Pires	Co-advisor	Concluded
2002-03	Definição de Kernels para Problemas de Bioinformática, by Orlando Anunciação	Co-advisor	Concluded
2002-03	Inferência de Cadeias de Markov (HMM) a partir de Sequências Biológicas, by Óscar Lopes	Co-advisor	Concluded

Teaching Activity

Assistant Professor at Department of Information Systems and Computer Science, Instituto Superior Técnico:

Advanced Studies on Pattern Mining ( 2008/09, 2009/10, 2010/11, 2012/13)
Decision Support Systems ( 2004/05, 2005/06, 2006/07, 2007/08, 2008/09, 2009/10, 2010/11, 2012/13)
Advanced Techniques for Data Mining ( 2005/06,2006/07,2007/08)
Programming (2004/05, 2008/09, 2009/10, 2012/13)
Machine Learning (1999/00, 2000/01, 2001/02, 2002/03)
Knowledge Representation (2002/03)
Introduction to Programming (1998/99, 1999/00, 2000/01, 2001/02)
Computer Graphics (1999/00)
Computer Architecture (1998/99)

Instituto Superior Técnico

Contacts

Academic Degrees

Scientific Activity

Research Projects

Publications

Supervising experience

Teaching Activity