Financial Data Analysis with PGMs Using AMIDST

Rafael Cabanas, Ana M. Martinez, Andres R. Masegosa, Dario Ramos-Lopez, Antonio Sameron, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)
OriginalsprogEngelsk
TitelProceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016
Antal sider4
ForlagIEEE
Publikationsdato30 jan. 2017
Sider1284-1287
Artikelnummer7836816
ISBN (Elektronisk)978-1-5090-5910-2
DOI
StatusUdgivet - 30 jan. 2017
Begivenhed16th IEEE International Conference on Data Mining Workshops, ICDMW 2016 - Barcelona, Spanien
Varighed: 12 dec. 201615 dec. 2016

Konference

Konference16th IEEE International Conference on Data Mining Workshops, ICDMW 2016
LandSpanien
ByBarcelona
Periode12/12/201615/12/2016
SponsorIEEE Computer Society

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Economics

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    Cabanas, R., Martinez, A. M., Masegosa, A. R., Ramos-Lopez, D., Sameron, A., Nielsen, T. D., ... Madsen, A. L. (2017). Financial Data Analysis with PGMs Using AMIDST. I Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016 (s. 1284-1287). [7836816] IEEE. https://doi.org/10.1109/ICDMW.2016.0185
    Cabanas, Rafael ; Martinez, Ana M. ; Masegosa, Andres R. ; Ramos-Lopez, Dario ; Sameron, Antonio ; Nielsen, Thomas D. ; Langseth, Helge ; Madsen, Anders L. / Financial Data Analysis with PGMs Using AMIDST. Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. IEEE, 2017. s. 1284-1287
    @inproceedings{b6626d5e26414dc4ad73f86ae4c3714c,
    title = "Financial Data Analysis with PGMs Using AMIDST",
    keywords = "Concept drift, Data streams, Financial data, Java 8, Latent variable models, Machine learning, Probabilistic graphical models, Scalable learning, Variational methods",
    author = "Rafael Cabanas and Martinez, {Ana M.} and Masegosa, {Andres R.} and Dario Ramos-Lopez and Antonio Sameron and Nielsen, {Thomas D.} and Helge Langseth and Madsen, {Anders L.}",
    year = "2017",
    month = "1",
    day = "30",
    doi = "10.1109/ICDMW.2016.0185",
    language = "English",
    pages = "1284--1287",
    booktitle = "Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016",
    publisher = "IEEE",
    address = "United States",

    }

    Cabanas, R, Martinez, AM, Masegosa, AR, Ramos-Lopez, D, Sameron, A, Nielsen, TD, Langseth, H & Madsen, AL 2017, Financial Data Analysis with PGMs Using AMIDST. i Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016., 7836816, IEEE, s. 1284-1287, Barcelona, Spanien, 12/12/2016. https://doi.org/10.1109/ICDMW.2016.0185

    Financial Data Analysis with PGMs Using AMIDST. / Cabanas, Rafael; Martinez, Ana M.; Masegosa, Andres R.; Ramos-Lopez, Dario; Sameron, Antonio; Nielsen, Thomas D.; Langseth, Helge; Madsen, Anders L.

    Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. IEEE, 2017. s. 1284-1287 7836816.

    Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

    TY - GEN

    T1 - Financial Data Analysis with PGMs Using AMIDST

    AU - Cabanas, Rafael

    AU - Martinez, Ana M.

    AU - Masegosa, Andres R.

    AU - Ramos-Lopez, Dario

    AU - Sameron, Antonio

    AU - Nielsen, Thomas D.

    AU - Langseth, Helge

    AU - Madsen, Anders L.

    PY - 2017/1/30

    Y1 - 2017/1/30

    KW - Concept drift

    KW - Data streams

    KW - Financial data

    KW - Java 8

    KW - Latent variable models

    KW - Machine learning

    KW - Probabilistic graphical models

    KW - Scalable learning

    KW - Variational methods

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    U2 - 10.1109/ICDMW.2016.0185

    DO - 10.1109/ICDMW.2016.0185

    M3 - Article in proceeding

    SP - 1284

    EP - 1287

    BT - Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016

    PB - IEEE

    ER -

    Cabanas R, Martinez AM, Masegosa AR, Ramos-Lopez D, Sameron A, Nielsen TD et al. Financial Data Analysis with PGMs Using AMIDST. I Proceedings - 16th IEEE International Conference on Data Mining Workshops, ICDMW 2016. IEEE. 2017. s. 1284-1287. 7836816 https://doi.org/10.1109/ICDMW.2016.0185