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João Gama
Joao Gama
2010 – today
- 2013
[j36]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)- [j35]João Gama, Raquel Sebastião, Pedro Pereira Rodrigues: On evaluating stream learning algorithms. Machine Learning 90(3): 317-346 (2013)
- [c90]Elaine R. Faria, João Gama, André C. P. L. F. Carvalho: Novelty detection algorithm for data streams multi-class problems. SAC 2013: 795-800
- [c89]
- 2012
- [j34]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)
- [j33]João Gama: A survey on learning from data streams: current and future trends. Progress in AI 1(1): 45-55 (2012)
- [j32]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)
- [j31]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)
- [c88]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
- [c87]Melissa Rodrigues, João Gama, Carlos Abreu Ferreira: Identifying Relationships in Transactional Data. IBERAMIA 2012: 81-90
- [c86]Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira, Luís Damas: Online Predictive Model for Taxi Services. IDA 2012: 230-240
- [c85]Zaigham Faraz Siddiqui, Márcia D. B. Oliveira, João Gama, Myra Spiliopoulou: Where Are We Going? Predicting the Evolution of Individuals. IDA 2012: 357-368
- [c84]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
- [c83]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
- [c82]Shonali Krishnaswamy, João Gama, Mohamed Medhat Gaber: Mobile Data Stream Mining: From Algorithms to Applications. MDM 2012: 360-363
- [c81]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
- [c80]Petr Kosina, João Gama: Handling Time Changing Data with Adaptive Very Fast Decision Rules. ECML/PKDD (1) 2012: 827-842
- [c79]
- [c78]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
- [c77]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
- [c76]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
- [c75]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
- 2011
- [j30]Elena Ikonomovska, João Gama, Saso Dzeroski: Learning model trees from evolving data streams. Data Min. Knowl. Discov. 23(1): 128-168 (2011)
- [j29]
- [j28]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)
- [j27]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)
- [j26]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)
- [c74]Joaquim Marques de Sá, Raquel Sebastião, João Gama, Tânia Fontes: New Results on Minimum Error Entropy Decision Trees. CIARP 2011: 355-362
- [c73]Shonali Krishnaswamy, Joao Gama, Mohamed Medhat Gaber: Advances in data stream mining for mobile and ubiquitous environments. CIKM 2011: 2607-2608
- [c72]Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Constrained Sequential Pattern Knowledge in Multi-relational Learning. EPIA 2011: 282-296
- [c71]
- [c70]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
- [c69]
- [c68]Elena Ikonomovska, Kurt Driessens, Saso Dzeroski, João Gama: Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. ICDM Workshops 2011: 697-704
- [c67]Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski: Speeding-Up Hoeffding-Based Regression Trees With Options. ICML 2011: 537-544
- [c66]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
- [c65]
- [c64]
- [c63]Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Predictive Sequence Miner in ILP Learning. ILP 2011: 130-144
- [c62]Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Sequential Pattern Knowledge in Multi-Relational Learning. ISCIS 2011: 539-545
- [c61]Elena Ikonomovska, João Gama, Saso Dzeroski: Incremental multi-target model trees for data streams. SAC 2011: 988-993
- [c60]Pedro Pereira Rodrigues, João Gama, João Araújo, Luís M. B. Lopes: L2GClust: local-to-global clustering of stream sources. SAC 2011: 1006-1011
- [e7]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
- 2010
- [b1]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
- [j25]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)
- [c59]
- [c58]Márcia D. B. Oliveira, João Gama: Bipartite Graphs for Monitoring Clusters Transitions. IDA 2010: 114-124
- [c57]Hillol Kargupta, Joao Gama, Wei Fan: The next generation of transportation systems, greenhouse emissions, and data mining. KDD 2010: 1209-1212
- [c56]
- [p2]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
- [e6]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
- [r3]
2000 – 2009
- 2009
- [j24]Gladys Castillo, João Gama: Adaptive Bayesian network classifiers. Intell. Data Anal. 13(1): 39-59 (2009)
- [j23]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)
- [j22]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)
- [j21]Pedro Pereira Rodrigues, João Gama: A system for analysis and prediction of electricity-load streams. Intell. Data Anal. 13(3): 477-496 (2009)
- [j20]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)
- [c55]Carlos Abreu Ferreira, João Gama, Vítor Santos Costa: Sequential Pattern Mining in Multi-relational Datasets. CAEPIA 2009: 121-130
- [c54]Joaquim Marques de Sá, João Gama, Raquel Sebastião, Luís A. Alexandre: Decision Trees Using the Minimum Entropy-of-Error Principle. CAIP 2009: 799-807
- [c53]Elena Ikonomovska, João Gama, Raquel Sebastião, Dejan Gjorgjevik: Regression Trees from Data Streams with Drift Detection. Discovery Science 2009: 121-135
- [c52]
- [c51]Raquel Sebastião, Pedro Pereira Rodrigues, João Gama: Change Detection in Climate Data over the Iberian Peninsula. ICDM Workshops 2009: 248-253
- [c50]João Gama, Raquel Sebastião, Pedro Pereira Rodrigues: Issues in evaluation of stream learning algorithms. KDD 2009: 329-338
- [c49]João Gama, Pedro Pereira Rodrigues, Raquel Sebastião: Evaluating algorithms that learn from data streams. SAC 2009: 1496-1500
- [p1]João Gama, Pedro Pereira Rodrigues: An Overview on Mining Data Streams. Foundations of Computational Intelligence (6) 2009: 29-45
- [e5]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
- [e4]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
- [e3]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
- [r2]João Gama, Pedro Pereira Rodrigues: Data Streams. Encyclopedia of Data Warehousing and Mining 2009: 561-565
- [r1]João Gama, Pedro Pereira Rodrigues: Learning from Data Streams. Encyclopedia of Data Warehousing and Mining 2009: 1137-1141
- 2008
- [j19]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)
- [j18]João Gama, Jesús S. Aguilar-Ruiz, Ralf Klinkenberg: Knowledge discovery from data streams. Intell. Data Anal. 12(3): 251-252 (2008)
- [j17]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)
- [j16]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)
- [j15]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)
- [j14]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)
- [c48]
- [c47]Pedro Pereira Rodrigues, João Gama: Robust Division in Clustering of Streaming Time Series. ECAI 2008: 172-176
- [c46]Pedro Pereira Rodrigues, João Gama, Zoran Bosnic: Online Reliability Estimates for Individual Predictions in Data Streams. ICDM Workshops 2008: 36-45
- [c45]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
- [c44]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
- [c43]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
- [c42]Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes: Clustering Distributed Sensor Data Streams. ECML/PKDD (2) 2008: 282-297
- [c41]João Gama, André Carlos Ponce Leon Ferreira de Carvalho, Jesús S. Aguilar-Ruiz: Special track on Data Streams: editorial message. SAC 2008: 955
- [c40]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
- [c39]Raquel Sebastião, João Gama, Teresa Mendonça: Learning from Data Streams: Synopsis and Change Detection. STAIRS 2008: 163-174
- 2007
- [c38]Raquel Sebastião, João Gama: Change Detection in Learning Histograms from Data Streams. EPIA Workshops 2007: 112-123
- [c37]Pedro Pereira Rodrigues, João Gama: Semi-fuzzy Splitting in Online Divisive-Agglomerative Clustering. EPIA Workshops 2007: 133-144
- [c36]Edgar Pimenta, João Gama, André Carlos Ponce Leon Ferreira de Carvalho: Pursuing the Best ECOC Dimension for Multiclass Problems. FLAIRS Conference 2007: 622-627
- [c35]
- [c34]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
- [c33]Carlos Pinto, Joao Gama: Incremental discretization, application to data with concept drift. SAC 2007: 467-468
- 2006
- [j13]João Gama, Ricardo Fernandes, Ricardo Rocha: Decision trees for mining data streams. Intell. Data Anal. 10(1): 23-45 (2006)
- [j12]João Gama, Pedro Pereira Rodrigues, Jesús S. Aguilar-Ruiz: An Overview on Learning from Data Streams. New Generation Comput. 25(1): 1-4 (2006)
- [c32]
- [c31]Milton Severo, João Gama: Change Detection with Kalman Filter and CUSUM. Discovery Science 2006: 243-254
- [c30]Gladys Castillo, João Gama: An Adaptive Prequential Learning Framework for Bayesian Network Classifiers. PKDD 2006: 67-78
- [c29]João Gama, Carlos Pinto: Discretization from data streams: applications to histograms and data mining. SAC 2006: 662-667
- [c28]Pedro Pereira Rodrigues, João Gama, João Pedro Pedroso: ODAC: Hierarchical Clustering of Time Series Data Streams. SDM 2006
- 2005
- [j11]
- [j10]João Gama, Pedro Medas: Learning Decision Trees from Dynamic Data Streams. J. UCS 11(8): 1353-1366 (2005)
- [c27]Gladys Castillo, João Gama: Bias Management of Bayesian Network Classifiers. Discovery Science 2005: 70-83
- [c26]João Gama, João Moura Pires, Margarida Cardoso, Nuno Cavalheiro Marques, Luís Cavique: Introduction. EPIA 2005: 287-287
- [c25]João Gama, Pedro Medas, Pedro Pereira Rodrigues: Learning decision trees from dynamic data streams. SAC 2005: 573-577
- [e2]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
- [e1]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
- 2004
- [j9]Miroslav Kubat, Joao Gama, Paul E. Utgoff: Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. 8(3): 211-212 (2004)
- [j8]Alexandros Kalousis, Joao Gama, Melanie Hilario: On Data and Algorithms: Understanding Inductive Performance. Machine Learning 54(3): 275-312 (2004)
- [j7]
- [c24]João Gama, Pedro Medas: Learning in Dynamic Environments: Decision Trees for Data Streams. PRIS 2004: 149-158
- [c23]
- [c22]João Gama, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues: Learning with Drift Detection. SBIA 2004: 286-295
- 2003
- [j6]
- [c21]
- [c20]João Gama, Ricardo Rocha, Pedro Medas: Accurate decision trees for mining high-speed data streams. KDD 2003: 523-528
- [c19]Gladys Castillo, João Gama, Ana M. Breda: Adaptive Bayes for a Student Modeling Prediction Task Based on Learning Styles. User Modeling 2003: 328-332
- 2002
- [c18]
- [c17]
- 2001
- [c16]
- [c15]Nuno Amado, Joao Gama, Fernando M. A. Silva: Parallel Implementation of Decision Tree Learning Algorithms. EPIA 2001: 6-13
- [c14]
- [c13]
- 2000
- [j5]
- [j4]
- [j3]
- [c12]
1990 – 1999
- 1999
- [j2]
- [c11]
- [c10]
- 1998
- [c9]
- [c8]João Gama, Luís Torgo, Carlos Soares: Dynamic Discretization of Continuous Attributes. IBERAMIA 1998: 160-169
- [c7]
- 1997
- [j1]Luís Torgo, João Gama: Regression Using Classification Algorithms. Intell. Data Anal. 1(1-4): 275-292 (1997)
- [c6]
- [c5]
- [c4]
- 1996
- [c3]
- 1995
- [c2]
- 1994
- [c1]Pavel Brazdil, Joao Gama, Bob Henery: Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. ECML 1994: 83-102
Coauthor Index
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last updated on 2013-06-18 22:43 CEST by the dblp team