Search results for "Big data"
showing 10 items of 311 documents
How Hadoop and Spark benchmarking algorithms can improve remote health monitoring and data management platforms?
2019
This chapter introduces the characteristics of e-care platform and the concept of ontology which helps the reader understand the system that will implement big data tools for its migration while also focusing on focuses on the most popular systems in the Hadoop ecosystem, emphasizing MapReduce and Spark.
AI-enabled adaptive learning systems: A systematic mapping of the literature
2021
Abstract Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability to deliver learning content and adapt to the individual needs of students. Yet, even though these contemporary learning systems are useful educational platforms that meet students’ needs, there is still a low number of implemented systems designed to address the concerns and problems faced by many students. Based on this perspective, a systematic mapping of the literature on AI-enabled adaptive le…
Improving big-data automotive applications performance through adaptive resource allocation
2019
In automotive applications, connected vehicles (CVs) can collect various information (external temperature, speed, location, etc.) and send them to a central infrastructure for exploitation in a wide range of applications: Eco-Driving, fleet management, environmental monitoring, etc. Such applications are known to generate a massive volume of data that is processed in real or near real time (i.e., data streams) depending on the target application requirements. To handle this data volume, big data architectures, based on stream computing paradigm, are usually adopted. Within this paradigm, data are continuously processed by a set of operators (elementary operations) instances. Further, a str…
Machine Learning Methods for Spatial and Temporal Parameter Estimation
2020
Monitoring vegetation with satellite remote sensing is of paramount relevance to understand the status and health of our planet. Accurate and constant monitoring of the biosphere has large societal, economical, and environmental implications, given the increasing demand of biofuels and food by the world population. The current democratization of machine learning, big data, and high processing capabilities allow us to take such endeavor in a decisive manner. This chapter proposes three novel machine learning approaches to exploit spatial, temporal, multi-sensor, and large-scale data characteristics. We show (1) the application of multi-output Gaussian processes for gap-filling time series of…
Complying With the First Law of Robotics: An Analysis of the Occupational Risks Associated With Work Directed by an Algorithm/Artificial Intelligence
2020
It is increasingly common for companies to use artificial intelligence mechanisms, which may be more or less advanced, to manage work, that is, to establish work shifts and production times, design and allocate tasks for workers, recruit workers, evaluate performance and dismiss employees. Companies rely on technology to gather all the information available, process it and make the management decisions (productivity optimisation) that will benefit them the most. This replaces human supervisors and middle managers, as well as experts in human resources, leaving the management of workers in the hands of automated processes directed by algorithms – or in its most advanced stage, to be undertak…
Retos legales en el uso del big data en la selección de sujetos a investigar por la Inspección de Trabajo y de la Seguridad Social
2020
Entre las formulas tradicionales para seleccionar los sujetos objeto de una inspección se ha introducido recientemente el uso del big data y los algoritmos. Esta tecnología promete mejorar los “aciertos” a la hora de seleccionar qué empresas se van a investigar por posibles ilícitos. Esto puede plantear problemas jurídicos respecto a la protección de los datos, en la aplicación del principio de igualdad y no discriminación en la selección de objetivos y las obligaciones de trasparencia. En este trabajo se analizan los retos legales que ello representa, con especial reconocimiento de los principios aplicables y la incipiente doctrina judicial en países de nuestro entorno.
Strengthening Relational Ties and Building Loyalty Through Relational Innovation and Technology: Evidence from Spanish Hotel Guests
2019
Smart tourism relies on the ability to collect enormous amounts of data and intelligently store, process, combine, analyse and use big data to inform business innovation, operations and services. Companies are becoming aware of the potential of analytics and big data and the need to invest in technology to remain competitive. Most of the research on big data, technology and innovation in tourism focuses on the firm’s perspective, paying scanty attention to customers’ perceptions. The present chapter aims to analyse the impact of hotel relational innovation and technology on brand equity and hotel-guest relational ties and customer loyalty. This objective has been pursued in quantitative res…
Exploring User Behavior in Destination Websites: An Application of Web Mining Techniques
2021
The development of the Internet has so strongly affected the way a tourist destination can be promoted that portals now play an important role in defining the marketing strategies of tourist destinations. Hence, investigating website surfing behavior has become crucial to understanding the needs of potential tourists. Using Web Mining techniques, our study explores the information-seeking behavior of those who log on to a website promoting the island of Sicily, a well known tourist destination in the South of Italy. The study explores whether a tourist’s country of origin affects their information needs and surfing behavior. Actually, our results do show differences in behavior between user…
Vendor lock-in problem in cloud storage
2015
Pilvitallennuspalvelut tuovat datan tallentamiseen ennennäkemättömiä etuja ja niiden hyödyntäminen on, sekä yksittäisillä kuluttajilla, että yrityksillä, yleistymässä. Teknologiassa on kuitenkin vielä ongelmia ilman ratkaisua. Turvallisuus-, sekä yksityisyysseikat ovat tunnetuimpia, ja niitä on tutkittu laajalti. Vähemmälle huomiolle on jäänyt, kuinka vaikeaa on palveluntarjoajan vaihtaminen. Palveluntarjoajan vaihtaminen aiheuttaa aina kustannuksia asiakkaalle. Tilannetta, jossa vaihtokustannukset ovat niin suuret, että ne estävät palveluntarjoajan vaihtamisen, kuvataan termillä "vendor lock-in" (toimittajaloukku). Tämän kandidaatintutkielman tavoitteena on kirjallisuuskatsauksen perusteel…
Scienze sociali computazionali e fenomeni criminali: una ricognizione
2016
L’espressione “scienze sociali computazionali” sta diventando sempre più comune nel lessico delle scienze della società. Si tratta di un campo di studi che, originando da settori della sociologia più orientati alla ricerca quantitativa, si ibrida con contributi provenienti dall’informatica e dalle cosiddette scienze della complessità. Nella prima parte del capitolo, dopo un primo paragrafo riguardante aspetti definitori ed un tentativo di classificazione delle scienze sociali computazionali, vengono presentate le tre famiglie di tecniche più importanti che caratterizzano questo approccio: il data mining, l’analisi di rete, e la simulazione al computer; con una maggiore attenzione prestata a…