João Manuel Portela da Gama


AuthID: R-000-75X

Confirmed Publications: 524



291
TITLE: Challenges in Learning from Streaming Data Extended Abstract
AUTHORS: João Gama ;
PUBLISHED: 2014, SOURCE: 6th Information and Communication Technologies Innovations 2014 conference, ICT 2014 in ICT Innovations 2014 - World of Data, Ohrid, Macedonia, 1-4 October, 2014, VOLUME: 311
INDEXED IN: Scopus DBLP CrossRef
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292
TITLE: Collaborative Wind Power Forecast
AUTHORS: Vania Almeida ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 3rd International Conference on Adaptive and Intelligent Systems (ICAIS) in ADAPTIVE AND INTELLIGENT SYSTEMS, ICAIS 2014, VOLUME: 8779
INDEXED IN: Scopus WOS DBLP CrossRef: 3
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293
TITLE: Comparing Data Distribution Using Fading Histograms
AUTHORS: Raquel Sebastiao ; Joao Gama ; Teresa Mendonca ;
PUBLISHED: 2014, SOURCE: 21st European Conference on Artificial Intelligence (ECAI) in 21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014), VOLUME: 263
INDEXED IN: Scopus WOS DBLP
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294
TITLE: Constructing fading histograms from data streams
AUTHORS: Raquel Sebastião ; João Gama ; Teresa Mendonça ;
PUBLISHED: 2014, SOURCE: Progress in AI, VOLUME: 3, ISSUE: 1
INDEXED IN: Scopus DBLP CrossRef: 1
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295
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
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296
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
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297
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
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298
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
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299
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: 12
IN MY: ORCID | DBLP
300
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
Page 30 of 53. Total results: 524.

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