João Manuel Portela da Gama


AuthID: R-000-75X

Confirmed Publications: 520



291
TITLE: Data stream mining in ubiquitous environments: state-of-the-art and current directions. Data stream mining in ubiquitous environments  Full Text
AUTHORS: Mohamed Medhat Gaber; Joao Gama ; Shonali Krishnaswamy; Joao Bartolo Gomes; Frederic Stahl;
PUBLISHED: 2014, SOURCE: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 4, ISSUE: 2
INDEXED IN: Scopus WOS DBLP CrossRef: 23
IN MY: ORCID | DBLP
292
TITLE: Distributed Adaptive Model Rules for Mining Big Data Streams
AUTHORS: Vu, AT; Gianmarco D De Francisci Morales; Joao Gama ; Albert Bifet;
PUBLISHED: 2014, SOURCE: IEEE International Conference on Big Data in 2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)
INDEXED IN: Scopus WOS DBLP CrossRef: 11
IN MY: ORCID | DBLP
293
TITLE: Distributed clustering of ubiquitous data streams. Distributed clustering of ubiquitous data streams  Full Text
AUTHORS: Pedro Pereira Rodrigues ; Joao Gama ;
PUBLISHED: 2014, SOURCE: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 4, ISSUE: 1
INDEXED IN: Scopus WOS DBLP CrossRef: 11
IN MY: ORCID | DBLP
294
TITLE: Dynamic communities in evolving customer networks: an analysis using landmark and sliding windows
AUTHORS: Oliveira, M ; Guerreiro, A; Gama, J ;
PUBLISHED: 2014, SOURCE: Social Network Analysis and Mining, VOLUME: 4, ISSUE: 1
INDEXED IN: Scopus DBLP CrossRef: 9
IN MY: ORCID | DBLP
295
TITLE: Enhancing data stream predictions with reliability estimators and explanation  Full Text
AUTHORS: Bosnic, Z; Demsar, J; Kespret, G; Rodrigues, PP ; Gama, J ; Kononenko, I;
PUBLISHED: 2014, SOURCE: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, VOLUME: 34
INDEXED IN: Scopus WOS DBLP CrossRef: 11
IN MY: ORCID | DBLP
296
TITLE: Ensembles of Adaptive Model Rules from High-Speed Data Streams
AUTHORS: João Duarte; João Gama ;
PUBLISHED: 2014, SOURCE: Proceedings of the 3rd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2014, New York City, USA, August 24, 2014, VOLUME: 36
INDEXED IN: DBLP
IN MY: ORCID | DBLP
297
TITLE: Event and Anomaly Detection Using Tucker3 Decomposition PDF
AUTHORS: Hadi Fanaee T ; Márcia D. B. Oliveira ; João Gama ; Simon Malinowski; Ricardo Morla;
PUBLISHED: 2014, SOURCE: CoRR, VOLUME: abs/1406.3266
INDEXED IN: DBLP arXiv
IN MY: ORCID | DBLP
298
TITLE: Event labeling combining ensemble detectors and background knowledge
AUTHORS: Hadi Fanaee T ; João Gama ;
PUBLISHED: 2014, SOURCE: Progress in AI, VOLUME: 2, ISSUE: 2-3
INDEXED IN: Scopus DBLP CrossRef: 151
IN MY: ORCID | DBLP
299
TITLE: Failure Prediction - An Application in the Railway Industry
AUTHORS: Pedro Pereira; Rita P Ribeiro ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 17th International Conference on Discovery Science (DS) in DISCOVERY SCIENCE, DS 2014, VOLUME: 8777
INDEXED IN: Scopus WOS DBLP CrossRef: 5
IN MY: ORCID | DBLP
300
TITLE: Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback
AUTHORS: Joao Vinagre ; Alipio Mario Jorge ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 22nd International Conference on User Modeling, Adaptation, and Personalization (UMAP) in USER MODELING, ADAPTATION, AND PERSONALIZATION, UMAP 2014, VOLUME: 8538
INDEXED IN: Scopus WOS DBLP CrossRef: 56
IN MY: ORCID | DBLP
Page 30 of 52. Total results: 520.

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