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João Manuel Portela da Gama
AuthID:
R-000-75X
Publications
Confirmed
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Document Source:
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Document Type:
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Proceedings Paper (244)
Article (159)
Editorial Material (46)
Proceedings (31)
Book Chapter (27)
Article in Press (10)
Book (8)
Review (7)
Unpublished (7)
Data Paper (2)
Abstract (1)
Correction (1)
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Confirmed Publications: 543
311
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
:
2
Handle
IN MY:
ORCID
|
DBLP
312
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
313
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
314
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
315
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
316
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
317
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
318
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
Handle
IN MY:
ORCID
|
DBLP
319
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
:
168
IN MY:
ORCID
|
DBLP
320
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
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