11
TÍTULO: Mixture Hidden Markov Models in Finance Research
AUTORES: Jose G Dias ; Jeroen K Vermunt; Sofia Ramos;
PUBLICAÇÃO: 2010, FONTE: 32nd Annual Conference of the German-Classification-Society in ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE
INDEXADO EM: Scopus WOS CrossRef: 3
NO MEU: ORCID
12
TÍTULO: Modeling demographic and health survey (DHS) data by latent class models: An application
AUTORES: Dias, JG ;
PUBLICAÇÃO: 2010, FONTE: 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10 in International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings
INDEXADO EM: Scopus
NO MEU: ORCID
13
TÍTULO: Store-level latent segmentation models: A case study
AUTORES: Trindade, G; Hill, MM; Dias, JG ;
PUBLICAÇÃO: 2010, FONTE: 12th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering, MACMESE'10 in International Conference on Mathematical and Computational Methods in Science and Engineering - Proceedings
INDEXADO EM: Scopus
NO MEU: ORCID
14
TÍTULO: The heterogeneous best-worst choice method in market research
AUTORES: Tavares, S; Cardoso, M ; Dias, JG ;
PUBLICAÇÃO: 2010, FONTE: INTERNATIONAL JOURNAL OF MARKET RESEARCH, VOLUME: 52, NÚMERO: 4
INDEXADO EM: Scopus WOS CrossRef Handle
NO MEU: ORCID
15
TÍTULO: Breast cancer diagnostic typologies by grade-of-membership fuzzy modeling
AUTORES: Jose G Dias ;
PUBLICAÇÃO: 2009, FONTE: 2nd WSEAS International Conference on Multivariate Analysis and Its Application in Science and Engineering in PROCEEDINGS OF THE 2ND WSEAS INTERNATIONAL CONFERENCE ON MULTIVARIATE ANALYSIS AND ITS APPLICATION IN SCIENCE AND ENGINEERING
INDEXADO EM: WOS
16
TÍTULO: A bootstrap-based aggregate classifier for model-based clustering  Full Text
AUTORES: Jose G Dias ; Jeroen K Vermunt;
PUBLICAÇÃO: 2008, FONTE: COMPUTATIONAL STATISTICS, VOLUME: 23, NÚMERO: 4
INDEXADO EM: Scopus WOS CrossRef: 16
NO MEU: ORCID
17
TÍTULO: The SKM Algorithm: A K-Means Algorithm for Clustering Sequential Data
AUTORES: Jose G Dias ; Maria Joao Cortinhal;
PUBLICAÇÃO: 2008, FONTE: 11th Ibero-American Conference on Artificial Intelligence in ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2008, PROCEEDINGS, VOLUME: 5290
INDEXADO EM: Scopus WOS CrossRef: 2
NO MEU: ORCID
18
TÍTULO: Latent class modeling of website users' search patterns: Implications for online market segmentation  Full Text
AUTORES: Dias, JG ; Vermunt, JK;
PUBLICAÇÃO: 2007, FONTE: Journal of Retailing and Consumer Services, VOLUME: 14, NÚMERO: 6
INDEXADO EM: Scopus CrossRef: 20
NO MEU: ORCID
19
TÍTULO: Model selection criteria for model-based clustering of categorical time series data: A Monte Carlo study  Full Text
AUTORES: Jose G Dias ;
PUBLICAÇÃO: 2007, FONTE: 30th Annual Conference of the German-Classification-Society in ADVANCES IN DATA ANALYSIS
INDEXADO EM: Scopus WOS CrossRef: 2
NO MEU: ORCID
20
TÍTULO: Performance evaluation of information criteria for the Naive-Bayes model in the case of latent class analysis: A Monte Carlo study  Full Text
AUTORES: Jose G Dias ;
PUBLICAÇÃO: 2007, FONTE: JOURNAL OF THE KOREAN STATISTICAL SOCIETY, VOLUME: 36, NÚMERO: 3
INDEXADO EM: WOS
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