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Listar por palabra clave "Internet data"

Mostrando ítems 1-20 de 98

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#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 ...
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 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 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 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 ...
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 Unconventional Example of Big Data: BIST-100 Banking Sub-Index of Turkey

Çelik, Sadullah; İşbilen, Elif (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] This paper applies Big Data concept to an emerging economy stock exchange market by examining the relationship between price and volume of the Banking index in BIST-100. Stock markets have been commonly analyzed in ...
Automated Detection of Customer Experience through Social Platforms

Bustamante, Juan; Kuffo, Leonardo; Izquierdo, Edgar; Vaca, Carmen (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The emergence and acceptance of social media have become a crucial aspect of daily lives in the worldwide population. As a result of this phenomenon, it is not surprising that customers’ buying patterns exhibit ...
Big data analytics in returns management – Are complex techniques necessary to forecast consumer returns properly?

Asdecker, Björn; Karl, David (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The more people shop online, the more consumer returns e-tailers face. In order to plan the returns management process capacity adequately, it is necessary to forecast the expected amount of returned parcels. Big data ...
Big Data and Data Driven Marketing in Brazil

Finger, Vítor; Reichelt, Valesca; Capelli, João (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The main purpose of this article is the understanding of which marketing strategies related to big data are being implemented by Brazilian companies in different sectors, in addition to assessing these actions within ...
Big data and official data: a cointegration analysis based on Google Trends and economic indicators

Crosato, Lisa; Mariani, Paolo; Marletta, Andrea; Zavanella, Biancamaria (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] In this paper the relationship between the Industrial Production Index (IPI), the confidence index for the manufacturing sector and Google searches for several words linked to the economic situation is explored. In ...
Big Data in Corporate Governance decision

Bel Oms, Inmaculada; Grau Grau, Alfredo (Editorial Universitat Politècnica de València, 2020-07-28)

[EN] Progress in Big Data in recent years has grown exponentially, which has allowed the detection and processing of a large amount of data. Until recently, this fact was unattainable by the lack of mechanization of the ...
Big Data Sources for Private Consumption Estimation: Evidence from Credit and Debit Card Records

Valdivieso-Anívarro, María; Vicente, María (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] Recent research has shown that big data sources provide timely granular information of human behavior. Compared to traditional survey-based statistics which rely on individuals properly recalling and reporting ...
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, ...
Bridging internet and cultural heritage through a digital marketing funnel: An exploratory approach

Veghes, Calin (Editorial Universitat Politècnica de València, 2020-05-12)

[EN] Digital marketing and cultural heritage: what may have in common two areas that seem so different? What may connect a dynamic, evolving and even catchy field to a rather static, outdated and quite boring one? Maybe ...
Causal discovery with Point of Sales data

Gmeiner, Peter (Editorial Universitat Politècnica de València, 2020-07-10)

[ES] GfK owns the world’s largest retail panel within the tech and durable good industries. The panel consists of weekly Point of Sales (PoS) data, such as price and sales units data at store level. From PoS data and other ...