RiuNet UPV Home
:
Browsing by Subject

Search RiuNet

Browse

All of RiuNet

My Account

Open access Monitor

RiuNet Help

Admin. UPV

Browsing by Subject "Conference"

Now showing items 1-20 of 109

#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 ...
5th CARPE Conference HORIZON EUROPE AND BEYOND

Orozco Messana, Javier (Editorial Universitat Politècnica de València, 2019-11-28)

CARPE, the Consortium on Applied Research and Professional Education is the first strategic alliance of a number of European universities of applied sciences. The partners aim to encourage cooperation in European research ...
5th International Conference on Higher Education Advances (HEAd' 19)

Doménech i de Soria, Josep; Giménez, Paloma; De la Poza, Elena; Soriano, María Desamparados; Peña Ortiz, Raúl (Editorial Universitat Politècnica de València, 2019-07-05)

Information and communication technologies together with new teaching paradigms are reshaping the learning environment.The International Conference on Higher Education Advances(HEAd) aims to become a forum for researchers ...
6th International Conference on Higher Education Advances (HEAd'20)

Merello Giménez, Paloma; Peña Ortiz, Raúl; De la Poza, Elena; Doménech i de Soria, Josep (Editorial Universitat Politècnica de València, 2020-06-08)

Information and communication technologies together with new teaching paradigms are reshaping the learning environment. The International Conference on Higher Education Advances (HEAd) aims to become a forum for researchers ...
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 ...
Abstracts of the 24th Hungary conference on rabbit production

Unknown author (Editorial Universitat Politècnica de València, 2014-09-30)

[EN] Some 100 guests took part in the 24th Hungarian Conference on Rabbit Production in Kaposvár, organised by the University of Kaposvár, the Hungarian Branch of the WRSA and the Rabbit Production Board. This is the largest ...
Abstracts of the “26th Hungarian Conference on Rabbit Production”

World Rabbit Science (Editorial Universitat Politècnica de València, 2015-03-26)

About 100 participants attended the 26th Hungarian Conference on Rabbit Production at Kaposvár, organised by Kaposvár University, the Hungarian Branch of the WRSA and the Rabbit Production Board. This is the largest and most ...
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 ...
AMPERE 2019. 17th International Conference on Microwave and High Frequency Heating

García Baños, Beatriz (Editorial Universitat Politècnica de València, 2019-10-15)

AMPERE 2019 is the largest event in Europe dedicated to scientific and industrial applications of microwave and radiofrequency power systems.The conference presents the status and trends in the multidisciplinary fields of ...
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 ...