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Browsing by Subject "Big data"

Now showing items 1-20 of 190

#immigrants project: the on-line perception of integration

D'Agata, Rosario; Gozzo, Simona (Editorial Universitat Politècnica de València, 2020-07-10)

[EN] This paper analyses the content of Twitter’s comments during the period covering the last European elections. "#immigrants" is the extraction’s keyword in different national languages. With the exception of English ...
'Whatever it takes' to change beliefs: Evidence from Twitter

Stiefel, Michael; Vivès, Rémi (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The sovereign debt literature emphasizes the possibility of avoiding a selffulfilling default crisis if markets anticipate the central bank to act as the lender of last resort. Motivated by the events of summer 2012 ...
3rd International Conference on Advanced Research Methods and Analytics (CARMA 2020)

Doménech i de Soria, Josep; Vicente Cuervo, María Rosalía (Editorial Universitat Politècnica de València, 2020-07-15)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information.As these sources, methods, and applications become more interdisciplinary, the ...
4th. International Conference on Advanced Research Methods and Analytics (CARMA 2022)

Doménech i de Soria, Josep; Vicente Cuervo, María Rosalía (Editorial Universitat Politècnica de València, 2022-09-21)

Research methods in economics and social sciences are evolving with the increasing availability of Internet and Big Data sources of information. As these sources, methods, and applications become more interdisciplinary, ...
A combination of multi-period training data and ensemble methods to improve churn classification of housing loan customers

Seppälä, Tomi; Thuy, Le (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] Customer retention has been the focus of customer relationship management in the financial sector during the past decade. The first and important step in customer retention is to classify the customers into possible ...
A comprehensive survey of multi-view video summarization

Hussain, Tanveer; Muhammad, Khan; Ding, Weiping; Lloret, Jaime; Baik, Sung Wook; de Albuquerque, Victor Hugo C. (Elsevier, 2021-01)

[EN] There has been an exponential growth in the amount of visual data on a daily basis acquired from single or multi-view surveillance camera networks. This massive amount of data requires efficient mechanisms such as ...
A field study on the impacts of implementing concepts and elements of industry 4.0 in the biopharmaceutical sector

Silva, Felipe; Resende, David; Amorim, Marlene; Borges, Monique (Editorial Universitat Politècnica de València, 2020-05-08)

[EN] This article proposes a field study on the applications and impacts of Industry 4.0 (I4.0) in the biopharmaceutical sector, based on an initial literature review. The world is facing a new industrial revolution that ...
A holistic framework for training business data analysts in the digital era

Abouali Sánchez, Said (Universitat Politècnica de València, 2020-04-27)

[ES] Las empresas y las organizaciones están avanzando hacia una transformación digital. En este contexto, su necesidad de Analistas de Datos de Negocios, los empleados que entienden y manejan la creciente cantidad de ...
A Low Dimensionality Representation for Language Variety Identification

Rangel-Pardo, Francisco Manuel; Franco-Salvador, Marc; Rosso, Paolo (Springer-Verlag, 2018)

[EN] Language variety identification aims at labelling texts in a native language (e.g. Spanish, Portuguese, English) with its specific variation (e.g. Argentina, Chile, Mexico, Peru, Spain; Brazil, Portugal; UK, US). In ...
A method for determining the emergence level of transformer technologies for green energy applications

Garechana, Gaizka; Río-Belver, Rosa; Zarrabeitia, Enara; Álvarez-Meaza, Izaskun (Editorial Universitat Politècnica de València, 2020-05-21)

[EN] Solid State Transformers (SST) are the result of merging the power electronics possibilities for voltage and frequency control with high-frequency transformers, and are expected to be a key component for enabling ...
A proposal to deal with sampling bias in social network big data

Iacus, Stefano Maria; Porro, Giuseppe; Salini, Silvia; Siletti, Elena (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] Selection bias is the bias introduced by the non random selection of data, it leads to question whether the sample obtained is representative of the target population. Generally there are different types of selection ...
A Smart System for Sleep Monitoring by Integrating IoT With Big Data Analytics

Yacchirema-Vargas, Diana Cecilia; Sarabia-Jácome, David Fernando; Palau Salvador, Carlos Enrique; Esteve Domingo, Manuel (Institute of Electrical and Electronics Engineers, 2018)

[EN] Obtrusive sleep apnea (OSA) is one of the most important sleep disorders because it has a direct adverse impact on the quality of life. Intellectual deterioration, decreased psychomotor performance, behavior, and ...
A Text-Based Framework for Dynamic Shopping-Cart Analysis

Kamakura, Wagner (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] Market Basket Analysis (MBA), also known as Association Rule Mining (ARM), is already widely known and utilized by traditional and online retailers. This practice has its origin in the data-mining literature, with ...
Access and analysis of ISTAC data through the use of R and Shiny

González-Martel, Christian; Cazorla-Artiles, José M.; Pérez-González, Carlos (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The increasing availability of open data resources provides opportunities for research and data science. It is necessary to develope tools that take advantage of the full potential of new information resources. In ...
Agent-Based Simulation of Smart Beds With Internet-of-Things for Exploring Big Data Analytics

García-Magariño, Iván; Lacuesta Gilabert, Raquel; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2018)

[EN] Internet-of-Things (IoT) can allow healthcare professionals to remotely monitor patients by analyzing the sensors outputs with big data analytics. Sleeping conditions are one of the most influential factors on health. ...
Agri-food 4.0: A survey of the supply chains and technologies for the future agriculture

Lezoche, Mario; Hernández, Jorge E.; Alemany Díaz, María Del Mar; Panetto, Hervé; Kacprzyk, Janusz (Elsevier, 2020-05)

[EN] The term "Agri-Food 4.0" is an analogy to the term Industry 4.0; coming from the concept "agriculture 4.0". Since the origins of the industrial revolution, where the steam engines started the concept of Industry 1.0 ...
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 ...
An algorithm to fit conditional tail expectation regression models for vehicle excess speed in driving data

Pitarque, Albert; Guillen, Montserrat (Editorial Universitat Politècnica de València, 2020-05-19)

[EN] An algorithm to fit regression models aimed at predicted the average responses beyond a conditional quantile level is presented. This procedure is implemented in a case study of insured drivers covering almost 10,000. ...
An energy transition without externalization?

Caballeros-Finkelstein, Alejandro; Ramos-Martín, Jesús; Madrid-López, Cristina (Editorial Universitat Politècnica de València, 2023-09-22)

[EN] The extended abstract presents the first results of the estimation of externalization levels of Spain through its energy transition towards 2030. . It represents a first step towards building the Calliope Spain model ...
An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management

Fiore, Sandro; Elia, Donatello; Pires, Carlos E.; Mestre, Demetrio Gomes; Cappiello, Cinzia; Vitali, Monica; Andrade, Nazareno; Braz, Tarciso; Lezzi, Daniele; Moraes, Regina; Basso, Tania; Kozievitch, Nadia P.; Ono Fonseca, Keiko Veronica; Antunes, Nuno; Vieira, Marco; Palazzo, Cosimo; Blanquer Espert, Ignacio (Institute of Electrical and Electronics Engineers, 2019)

[EN] Smart urban transportation management can be considered as a multifaceted big data challenge. It strongly relies on the information collected into multiple, widespread, and heterogeneous data sources as well as on the ...