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'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 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 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 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, ...
Customer relationship management (CRM) and Innovation: A qualitative comparative analysis (QCA) in the search for improvements on the firm performance in winery sector

Guerola-Navarro, Vicente; Oltra Badenes, Raúl Francisco; Gil Gómez, Hermenegildo; Iturricha Fernández, Agustín (Elsevier, 2021-08)

[EN] The main objective of modern Information Technology (IT) is to convert the transactional data derived from productive activity into business management information. It should, therefore, provide the Business Decision ...
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 ...
Do People Pay More Attention to Earthquakes in Western Countries?

Habibi, Hanna; Feld, Jan (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] This paper investigates whether people from Western countries pay more attention to earthquakes in Western countries than those in non-Western countries. Using Google Trends data, we examine the proportion of Google ...
Empirical examples of using Big Internet Data for Macroeconomic Nowcasting

Kapetanios, George; Marcellino, Massimiliano; Papailias, Fotis (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] In this paper we present results for nowcasting and one-month-ahead forecasting three key macroeconomic variables: inflation (measured by the month on month growth rate in the Harmonized Index of Consumer Prices), ...
Estimating traffic disruption patterns with volunteer geographic information

Bright, Jonathan; Camargo, Chico; Hale, Scott; McNeill, Graham; Raman, Sridhar (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] Accurate understanding and forecasting of traffic conditions is a key contemporary problem for local policymakers. Road networks are increasingly congested, yet data on usage patterns is often scarce or expensive to ...
Evolution and scientific visualization of Machine learning field

Río-Belver, Rosa; Garechana, Gaizka; Bildosola, Iñaki; Zarrabeitia, Enara (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] This article provides a retrospective and understanding of the development of automatic learning methods. The beginnings are visualized as a discipline within Computer Sciences in the subcategory of Artificial ...
Facebook, digital campaign and Italian general election 2018. A focus on the disintermediation process activated by the web

Calò, Ernesto; Faggiano, Maria Paola; Gallo, Raffaella; Mongiardo, Melissa (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] The digital media convergence has innovated all the information and communication channels. ICTs have adapted to the reticular structure, which can be interpreted as a paradigm of today's Network Society, invoking ...