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Añadidos recientemente

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

CARMA 2018 - 2nd International Conference on Advanced Research Methods and Analytics: Enviados recientemente

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    Digital Vapor Trails: Using Website Behavior to Nowcast Entrepreneurial Activity 
    Slaper, Timothy; Bianco, Alyssa; Lenz, Peter (Editorial Universitat Politècnica de València, 2018-09-07)
    [EN] Following recent research, we explore virtually contemporaneous, and geographically granular, user online activity related to entrepreneurship. In this paper, we present evidence that data harvested by Dstillery can ...
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    Gender discrimination in algorithmic decision-making 
    Andreeva, Galina; Matuszyk, Anna (Editorial Universitat Politècnica de València, 2018-09-07)
    [EN] Most countries prohibit the use of Gender when deciding whether to give credit to prospective borrowers or not. The increasing application of automated algorithmic-based decision-making raises series of questions ...
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    Inferring Social-Demographics of Travellers based on Smart Card Data 
    Zhang, Yang; Cheng, Tao (Editorial Universitat Politècnica de València, 2018-09-07)
    [EN] With the wide application of the smart card technology in public transit system, traveller’s daily travel behaviours can be possibly obtained. This study devotes to investigating the pattern of individual mobility ...
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    Algorithmic Trading Systems Based on Google Trends 
    Gómez Martínez, Raúl; Prado Román, Camilo; De la Orden de la Cruz, María del Carmen (Editorial Universitat Politècnica de València, 2018-09-07)
    [EN] In this paper we analyze five big data algorithmic trading systems based on artificial intelligence models that uses as predictors stats from Google Trends of dozens of financial terms. The systems were trained using ...
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    Blockchain-backed analytics. Adding blockchain-based quality gates to data science projects 
    Herrmann, Markus; Petzold, Jörg; Bombatkar, Vivek (Editorial Universitat Politècnica de València, 2018-09-07)
    [EN] A typical analytical lifecycle in data science projects starts with the process of data generation and collection, continues with data preparation and preprocessing and heads towards project specific analytics, ...