João Gama

Raquel Sebastião, Margarida Martins da Silva, Rui Rabiço, João Gama, Teresa Mendonça: Real-time algorithm for changes detection in depth of anesthesia signals. Evolving Systems 4(1): 3-12 (2013)

João Gama, Raquel Sebastião, Pedro Pereira Rodrigues: On evaluating stream learning algorithms. Machine Learning 90(3): 317-346 (2013)

Elaine R. Faria, João Gama, André C. P. L. F. Carvalho: Novelty detection algorithm for data streams multi-class problems. SAC 2013: 795-800

Ezilda Almeida, Petr Kosina, João Gama: Random rules from data streams. SAC 2013: 813-814

Márcia D. B. Oliveira, João Gama: A framework to monitor clusters evolution applied to economy and finance problems. Intell. Data Anal. 16(1): 93-111 (2012)

João Gama: A survey on learning from data streams: current and future trends. Progress in AI 1(1): 45-55 (2012)

Indre Zliobaite, Albert Bifet, Mohamed Medhat Gaber, Bogdan Gabrys, Joao Gama, Leandro L. Minku, Katarzyna Musial: Next challenges for adaptive learning systems. SIGKDD Explorations 14(1): 48-55 (2012)

Márcia D. B. Oliveira, João Gama: An overview of social network analysis. Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery 2(2): 99-115 (2012)

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa, Vladimiro Miranda, Audun Botterud: Predicting Ramp Events with a Stream-Based HMM Framework. Discovery Science 2012: 224-238

Melissa Rodrigues, João Gama, Carlos Abreu Ferreira: Identifying Relationships in Transactional Data. IBERAMIA 2012: 81-90

Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas: Online Predictive Model for Taxi Services. IDA 2012: 230-240

Zaigham Faraz Siddiqui, Márcia D. B. Oliveira, João Gama, Myra Spiliopoulou: Where Are We Going? Predicting the Evolution of Individuals. IDA 2012: 357-368

Douglas de O. Cardoso, Massimo De Gregorio, Priscila Maia Galvão Lima, João Gama, Felipe Maia Galvão França: A Weightless Neural Network-Based Approach for Stream Data Clustering. IDEAL 2012: 328-335

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Predictive Sequence Miner in ILP Learning. ILP 2012: 130-144

Luís Moreira-Matias, Carlos Abreu Ferreira, João Gama, João Mendes-Moreira, Jorge Freire de Sousa: Bus Bunching Detection by Mining Sequences of Headway Deviations. ICDM 2012: 77-91

Shonali Krishnaswamy, João Gama, Mohamed Medhat Gaber: Mobile Data Stream Mining: From Algorithms to Applications. MDM 2012: 360-363

Luís Moreira-Matias, João Mendes-Moreira, João Gama, Pavel Brazdil: Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix. MLDM 2012: 525-539

Petr Kosina, João Gama: Handling Time Changing Data with Adaptive Very Fast Decision Rules. ECML/PKDD (1) 2012: 827-842

Petr Kosina, João Gama: Very Fast Decision Rules for multi-class problems. SAC 2012: 795-800

Elaine R. Faria, Rodrigo C. Barros, João Gama, André C. P. L. F. Carvalho: Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. SAC 2012: 829-830

Rosane Maria Maffei Vallim, Jose Augusto Andrade Filho, André C. P. L. F. Carvalho, João Gama: A Density-Based Clustering Approach for Behavior Change Detection in Data Streams. SBRN 2012: 37-42

Michel Ferreira, Ricardo Fernandes, Hugo Conceição, Pedro Emanuel Rodrigues Gomes, Pedro M. d'Orey, Luís Moreira-Matias, João Gama, Fernanda Lima, Luís Damas: Vehicular Sensing: Emergence of a Massive Urban Scanner. S-CUBE 2012: 1-14

Luís Moreira-Matias, Ricardo Fernandes, Joao Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas: An online recommendation system for the taxi stand choice problem (Poster). VNC 2012: 173-180

Elena Ikonomovska, João Gama, Saso Dzeroski: Learning model trees from evolving data streams. Data Min. Knowl. Discov. 23(1): 128-168 (2011)

João Gama, Michael May: Ubiquitous Knowledge Discovery. Intell. Data Anal. 15(1): 1 (2011)

João Gama, Pedro Pereira Rodrigues, Luís M. B. Lopes: Clustering distributed sensor data streams using local processing and reduced communication. Intell. Data Anal. 15(1): 3-28 (2011)

José M. Carmona-Cejudo, Manuel Baena-García, Rafael Morales Bueno, João Gama, Albert Bifet: Using GNUsmail to Compare Data Stream Mining Methods for On-line Email Classification. Journal of Machine Learning Research - Proceedings Track 17: 12-18 (2011)

Jian Pei, Joao Gama, Qiang Yang, Ronghuai Huang, Xue Li: Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009). Knowl. Inf. Syst. 27(2): 163-164 (2011)

Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes: New Results on Minimum Error Entropy Decision Trees. CIARP 2011: 355-362

Shonali Krishnaswamy, Joao Gama, Mohamed Medhat Gaber: Advances in data stream mining for mobile and ubiquitous environments. CIKM 2011: 2607-2608

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Constrained Sequential Pattern Knowledge in Multi-relational Learning. EPIA 2011: 282-296

Márcia D. B. Oliveira, João Gama: Visualizing the Evolution of Social Networks. EPIA 2011: 476-490

Douglas de O. Cardoso, Priscila M. V. Lima, Massimo De Gregorio, João Gama, Felipe M. G. França: Clustering data streams with weightless neural networks. ESANN 2011

João Gama: Reasoning about the Learning Process. EGC 2011: 7-8

Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama: Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. ICDM Workshops 2011: 697-704

Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski: Speeding-Up Hoeffding-Based Regression Trees With Options. ICML 2011: 537-544

José M. Carmona-Cejudo, Manuel Baena-García, José del Campo-Ávila, Albert Bifet, João Gama, Rafael Morales Bueno: Online Evaluation of Email Streaming Classifiers Using GNUsmail. IDA 2011: 90-100

João Gama, Petr Kosina: Learning about the Learning Process. IDA 2011: 162-172

João Gama, Petr Kosina: Learning Decision Rules from Data Streams. IJCAI 2011: 1255-1260

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Sequential Pattern Knowledge in Multi-Relational Learning. ISCIS 2011: 539-545

Elena Ikonomovska, João Gama, Saso Dzeroski: Incremental multi-target model trees for data streams. SAC 2011: 988-993

Pedro Pereira Rodrigues, João Gama, João Araújo, Luís M. B. Lopes: L2GClust: local-to-global clustering of stream sources. SAC 2011: 1006-1011

João Gama, Elizabeth Bradley, Jaakko Hollmén (Eds.): Advances in Intelligent Data Analysis X - 10th International Symposium, IDA 2011, Porto, Portugal, October 29-31, 2011. Proceedings. Lecture Notes in Computer Science 7014, Springer 2011, isbn 978-3-642-24799-6

João Gama: Knowledge Discovery from Data Streams. Chapman and Hall / CRC Data Mining and Knowledge Discovery Series, CRC Press 2010, isbn 978-1-4398-2611-9, pp. I-XIX, 1-237

Varun Chandola, Olufemi A. Omitaomu, Auroop R. Ganguly, Ranga Raju Vatsavai, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 12(2): 50-53 (2010)

Petr Kosina, João Gama, Raquel Sebastião: Drift Severity Metric. ECAI 2010: 1119-1120

Márcia D. B. Oliveira, João Gama: Bipartite Graphs for Monitoring Clusters Transitions. IDA 2010: 114-124

Hillol Kargupta, Joao Gama, Wei Fan: The next generation of transportation systems, greenhouse emissions, and data mining. KDD 2010: 1209-1212

Márcia D. B. Oliveira, João Gama: MEC - Monitoring Clusters' Transitions. STAIRS 2010: 212-224

João Gama, Pedro Pereira Rodrigues, Eduardo J. Spinosa, André Carlos Ponce Leon Ferreira de Carvalho: Knowledge Discovery from Data Streams. Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web 2010: 125-138

João Gama: Clustering from Data Streams. Encyclopedia of Machine Learning 2010: 180-183

Mohamed Medhat Gaber, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, Auroop R. Ganguly (Eds.): Knowledge Discovery from Sensor Data, Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5840, Springer 2010, isbn 978-3-642-12518-8

Gladys Castillo, João Gama: Adaptive Bayesian network classifiers. Intell. Data Anal. 13(1): 39-59 (2009)

João Gama, Auroop R. Ganguly, Olufemi A. Omitaomu, Ranga Raju Vatsavai, Mohamed Medhat Gaber: Knowledge discovery from data streams. Intell. Data Anal. 13(3): 403-404 (2009)

Eduardo J. Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama: Novelty detection with application to data streams. Intell. Data Anal. 13(3): 405-422 (2009)

Pedro Pereira Rodrigues, João Gama: A system for analysis and prediction of electricity-load streams. Intell. Data Anal. 13(3): 477-496 (2009)

Olufemi A. Omitaomu, Ranga Raju Vatsavai, Auroop R. Ganguly, Nitesh V. Chawla, Joao Gama, Mohamed Medhat Gaber: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 11(2): 84-87 (2009)

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Sequential Pattern Mining in Multi-relational Datasets. CAEPIA 2009: 121-130

Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre: Decision Trees Using the Minimum Entropy-of-Error Principle. CAIP 2009: 799-807

Elena Ikonomovska, João Gama, Raquel Sebastião, Dejan Gjorgjevik: Regression Trees from Data Streams with Drift Detection. Discovery Science 2009: 121-135

João Gama, Petr Kosina: Tracking Recurring Concepts with Meta-learners. EPIA 2009: 423-434

Raquel Sebastião, Pedro Pereira Rodrigues, João Gama: Change Detection in Climate Data over the Iberian Peninsula. ICDM Workshops 2009: 248-253

João Gama, Raquel Sebastião, Pedro Pereira Rodrigues: Issues in evaluation of stream learning algorithms. KDD 2009: 329-338

João Gama, Pedro Pereira Rodrigues, Raquel Sebastião: Evaluating algorithms that learn from data streams. SAC 2009: 1496-1500

João Gama, Pedro Pereira Rodrigues: An Overview on Mining Data Streams. Foundations of Computational Intelligence (6) 2009: 29-45

João Gama, Pedro Pereira Rodrigues: Data Streams. Encyclopedia of Data Warehousing and Mining 2009: 561-565

João Gama, Pedro Pereira Rodrigues: Learning from Data Streams. Encyclopedia of Data Warehousing and Mining 2009: 1137-1141

Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng, Xue Li (Eds.): Advanced Data Mining and Applications, 5th International Conference, ADMA 2009, Beijing, China, August 17-19, 2009. Proceedings. Lecture Notes in Computer Science 5678, Springer 2009, isbn 978-3-642-03347-6

João Gama, Vítor Santos Costa, Alípio Mário Jorge, Pavel Brazdil (Eds.): Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009. Lecture Notes in Computer Science 5808, Springer 2009, isbn 978-3-642-04746-6

Olufemi A. Omitaomu, Auroop R. Ganguly, João Gama, Ranga Raju Vatsavai, Nitesh V. Chawla, Mohamed Medhat Gaber (Eds.): Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data, Paris, France, June 28, 2009. ACM 2009, isbn 978-1-60558-668-7

Ana Carolina Lorena, André Carlos Ponce Leon Ferreira de Carvalho, João Gama: A review on the combination of binary classifiers in multiclass problems. Artif. Intell. Rev. 30(1-4): 19-37 (2008)

João Gama, Jesús S. Aguilar-Ruiz, Ralf Klinkenberg: Knowledge discovery from data streams. Intell. Data Anal. 12(3): 251-252 (2008)

José del Campo-Ávila, Gonzalo Ramos-Jiménez, João Gama, Rafael Morales Bueno: Improving the performance of an incremental algorithm driven by error margins. Intell. Data Anal. 12(3): 305-318 (2008)

Edgar Pimenta, João Gama, André Carlos Ponce Leon Ferreira de Carvalho: The Dimension of Ecocs for Multiclass Classification Problems. International Journal on Artificial Intelligence Tools 17(3): 433-447 (2008)

Ranga Raju Vatsavai, Olufemi A. Omitaomu, Joao Gama, Nitesh V. Chawla, Mohamed Medhat Gaber, Auroop R. Ganguly: Knowledge discovery from sensor data (SensorKDD). SIGKDD Explorations 10(2): 68-73 (2008)

Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso: Hierarchical Clustering of Time-Series Data Streams. IEEE Trans. Knowl. Data Eng. 20(5): 615-627 (2008)

Elena Ikonomovska, Joao Gama: Learning Model Trees from Data Streams. Discovery Science 2008: 52-63

Pedro Pereira Rodrigues, João Gama: Robust Division in Clustering of Streaming Time Series. ECAI 2008: 172-176

Pedro Pereira Rodrigues, João Gama, Zoran Bosnic: Online Reliability Estimates for Individual Predictions in Data Streams. ICDM Workshops 2008: 36-45

Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: RUSE-WARMR: Rule Selection for Classifier Induction in Multi-relational Data-Sets. ICTAI (1) 2008: 379-386

Raquel Sebastião, João Gama, Pedro Pereira Rodrigues, João Bernardes: Monitoring Incremental Histogram Distribution for Change Detection in Data Streams. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 25-42

Pedro Pereira Rodrigues, João Gama: A Simple Dense Pixel Visualization for Mobile Sensor Data Mining. KDD Workshop on Knowledge Discovery from Sensor Data 2008: 175-189

Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes: Clustering Distributed Sensor Data Streams. ECML/PKDD (2) 2008: 282-297

João Gama, André Carlos Ponce Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz: Special track on Data Streams: editorial message. SAC 2008: 955

Eduardo J. Spinosa, André Carlos Ponce Leon Ferreira de Carvalho, João Gama: Cluster-based novel concept detection in data streams applied to intrusion detection in computer networks. SAC 2008: 976-980

Raquel Sebastião, João Gama, Teresa Mendonça: Learning from Data Streams: Synopsis and Change Detection. STAIRS 2008: 163-174

Raquel Sebastião, João Gama: Change Detection in Learning Histograms from Data Streams. EPIA Workshops 2007: 112-123

Pedro Pereira Rodrigues, João Gama: Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering. EPIA Workshops 2007: 133-144

Edgar Pimenta, João Gama, André Carlos Ponce Leon Ferreira de Carvalho: Pursuing the Best ECOC Dimension for Multiclass Problems. FLAIRS Conference 2007: 622-627

João Gama, Pedro Pereira Rodrigues: Stream-Based Electricity Load Forecast. PKDD 2007: 446-453

Eduardo J. Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama: OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams. SAC 2007: 448-452

Carlos Pinto, Joao Gama: Incremental discretization, application to data with concept drift. SAC 2007: 467-468

João Gama, Ricardo Fernandes, Ricardo Rocha: Decision trees for mining data streams. Intell. Data Anal. 10(1): 23-45 (2006)

João Gama, Pedro Pereira Rodrigues, Jesús S. Aguilar-Ruiz: An Overview on Learning from Data Streams. New Generation Comput. 25(1): 1-4 (2006)

João Gama, Gladys Castillo: Learning with Local Drift Detection. ADMA 2006: 42-55

Milton Severo, João Gama: Change Detection with Kalman Filter and CUSUM. Discovery Science 2006: 243-254

Gladys Castillo, João Gama: An Adaptive Prequential Learning Framework for Bayesian Network Classifiers. PKDD 2006: 67-78

João Gama, Carlos Pinto: Discretization from data streams: applications to histograms and data mining. SAC 2006: 662-667

Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso: ODAC: Hierarchical Clustering of Time Series Data Streams. SDM 2006

Jesús S. Aguilar-Ruiz, João Gama: Data Streams J.UCS Special Issue. J. UCS 11(8): 1349-1352 (2005)

João Gama, Pedro Medas: Learning Decision Trees from Dynamic Data Streams. J. UCS 11(8): 1353-1366 (2005)

Gladys Castillo, João Gama: Bias Management of Bayesian Network Classifiers. Discovery Science 2005: 70-83

João Gama, João Moura Pires, Margarida Cardoso, Nuno Cavalheiro Marques, Luís Cavique: Introduction. EPIA 2005: 287-287

João Gama, Pedro Medas, Pedro Pereira Rodrigues: Learning decision trees from dynamic data streams. SAC 2005: 573-577

João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo (Eds.): Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings. Lecture Notes in Computer Science 3720, Springer 2005, isbn 3-540-29243-8

Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama (Eds.): Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings. Lecture Notes in Computer Science 3721, Springer 2005, isbn 3-540-29244-6

Miroslav Kubat, Joao Gama, Paul E. Utgoff: Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. 8(3): 211-212 (2004)

Alexandros Kalousis, Joao Gama, Melanie Hilario: On Data and Algorithms: Understanding Inductive Performance. Machine Learning 54(3): 275-312 (2004)

João Gama: Functional Trees. Machine Learning 55(3): 219-250 (2004)

João Gama, Pedro Medas: Learning in Dynamic Environments: Decision Trees for Data Streams. PRIS 2004: 149-158

João Gama, Pedro Medas, Ricardo Rocha: Forest trees for on-line data. SAC 2004: 632-636

João Gama, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues: Learning with Drift Detection. SBIA 2004: 286-295

Joao Gama: Iterative Bayes. Theor. Comput. Sci. 292(2): 417-430 (2003)

Gladys Castillo, João Gama, Pedro Medas: Adaptation to Drifting Concepts. EPIA 2003: 279-293

João Gama, Ricardo Rocha, Pedro Medas: Accurate decision trees for mining high-speed data streams. KDD 2003: 523-528

Gladys Castillo, João Gama, Ana M. Breda: Adaptive Bayes for a Student Modeling Prediction Task Based on Learning Styles. User Modeling 2003: 328-332

João Gama, Gladys Castillo: Adaptive Bayes. IBERAMIA 2002: 765-774

Joao Gama: An Analysis of Functional Trees. ICML 2002: 155-162

Joao Gama: Functional Trees. Discovery Science 2001: 59-73

Nuno Amado, Joao Gama, Fernando M. A. Silva: Parallel Implementation of Decision Tree Learning Algorithms. EPIA 2001: 6-13

Joao Gama: Functional Trees for Classification. ICDM 2001: 147-154

Joao Gama: Functional Trees for Regression. IDA 2001: 156-166

Joao Gama: Thesis: Inductive learning classification algorithms. AI Commun. 13(2): 135-136 (2000)

Joao Gama: Iterative Bayes. Intell. Data Anal. 4(6): 475-488 (2000)

Joao Gama, Pavel Brazdil: Cascade Generalization. Machine Learning 41(3): 315-343 (2000)

Joao Gama: A Linear-Bayes Classifier. IBERAMIA-SBIA 2000: 269-279

Joao Gama, Pavel Brazdil: Linear tree. Intell. Data Anal. 3(1): 1-22 (1999)

Joao Gama: Iterative Naive Bayes. Discovery Science 1999: 80-91

Joao Gama: Discriminant Trees. ICML 1999: 134-142

Joao Gama: Combining Classifiers by Constructive Induction. ECML 1998: 178-189

João Gama, Luís Torgo, Carlos Soares: Dynamic Discretization of Continuous Attributes. IBERAMIA 1998: 160-169

Joao Gama: Local Cascade Generalization. ICML 1998: 206-214

Luís Torgo, João Gama: Regression Using Classification Algorithms. Intell. Data Anal. 1(1-4): 275-292 (1997)

Luís Torgo, João Gama: Search-Based Class Discretization. ECML 1997: 266-273

Joao Gama: Probabilistic Linear Tree. ICML 1997: 134-142

Joao Gama: Oblique Linear Tree. IDA 1997: 187-198

Luís Torgo, João Gama: Regression by Classification. SBIA 1996: 51-60

João Gama, Pavel Brazdil: Characterization of Classification Algorithms. EPIA 1995: 189-200

Pavel Brazdil, Joao Gama, Bob Henery: Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. ECML 1994: 83-102