Search results for " data"
showing 10 items of 7516 documents
Tiedonkeruun hallinta esineiden internetissä
2016
Digitalisaatio tuo tullessaan suuria muutoksia käsitykseemme koneiden ja ihmisten vuorovaikutuksesta. Tämä vuorovaikutus syntyy erilaisten tietolähteiden tuottaman tiedon kautta. Tässä tutkielmassa tarkastellaan millaista tietoa tuotetaan ja miten suuria määriä numeerista tietoa tulisi tuottaa, jotta se olisi myöhäisemmässä vaiheessa käyttökelpoista. Digitalization brings major changes in the understanding about interactions between machines and humans. This interaction is created through knowledge of various sources of information produced. This thesis examines what information is produced and how large amounts of numerical data should produce in order to be useful at a later stage.
Towards Service-oriented 5G: Virtualizing the Networks for Everything-as-a-Service
2018
It is widely acknowledged that the forthcoming 5G architecture will be highly heterogeneous and deployed with a high degree of density. These changes over the current 4G bring many challenges on how to achieve an efficient operation from the network management perspective. In this article, we introduce a revolutionary vision of the future 5G wireless networks, in which the network is no longer limited by hardware or even software. Specifically, by the idea of virtualizing the wireless networks, which has recently gained increasing attention, we introduce the Everything-as-a-Service (XaaS) taxonomy to light the way towards designing the service-oriented wireless networks. The concepts, chall…
BIG DATA, COMPETITION AND PRIVACY: A LOOK FROM THE ANTITRUST PERSPECTIVE
2016
de spesso confrontarsi due diverse « visioni del mondo ». Da un lato, i big data sono descritti come un input essenziale controllato da imprese dominanti, che costituisce una barriera all entrata, consolida le posizioni di mercato e consente pratiche commerciali a danno dei consumatori. Dall altro lato, i big data sono descritti come una commodity, un input che può essere acquisito attraverso una molteplicità di mezzi e che consente alle imprese di offrire ai consumatori servizi innovativi. La lettura del rapporto tra big data e concorrenza attraverso le lenti tipiche dell analisi antitrust suggerisce che queste due visioni del mondo non costituiscono due modelli teorici da valutare in astr…
Mining customer requirements from online reviews: A product improvement perspective
2016
We propose a filtering model to predict helpfulness of reviews for product design.We provide a way to use the KANO model based on online reviews.We explore how to obtain insights from Big Data through knowledge-based view. Big data commerce has become an e-commerce trend. Learning how to extract valuable and real time insights from big data to drive smarter and more profitable business decisions is a main task of big data commerce. Using online reviews as an example, manufacturers have come to value how to select helpful online reviews and what can be learned from online reviews for new product development. In this research, we first proposed an automatic filtering model to predict the help…
The efficiency of LiDAR HMLS scanning in monitoring forest structure parameters: implications for sustainable forest management
2022
PurposeThis article aims to compare the LiDAR handheld mobile laser scanner (HMLS) scans with traditional survey methods, as the tree gauge and the hypsometer, to study the efficiency of the new technology in relation to the accuracy of structural forest attributes estimation useful to support a sustainable forest management.Design/methodology/approachA case study was carried out in a high forest located in Tuscany (Italy), by considering 5 forest types, in 20 different survey plots. A comparative analysis between two survey methods will be shown in order to verify the potential limits and the viability of the LiDAR HMLS in the forest field.FindingsThis research demonstrates that LiDAR HMLS…
Open data, big data : quel renouveau du raisonnement cartographique ?
2017
International audience; Le mouvement d’open data, qui permet l’accès gratuit à un grand nombre de données spatiales ou démographiques, associé au développement d’outils de cartographie ou de visualisation libres (SIG, programme), a permis l’augmentation de la production de cartes. Seulement, l’automatisation des traitements permise par ces outils tend à gommer le raisonnement cartographique et peut conduire à des erreurs de construction cartographique, d’autant plus que la phase d’analyse des données peut s’avérer de plus en plus complexe dans un contexte de big data (en tant que données massives, peu structurées et désagrégées). Le raisonnement cartographique est le processus menant d’une …
Estimation of total electricity consumption curves of small areas by sampling in a finite population
2016
International audience; Many studies carried out in the French electricity company EDF are based on the analysis of the total electricity consumption curves of groups of customers. These aggregated electricity consumption curves are estimated by using samples of thousands of curves measured at a small time step and collected according to a sampling design. Small area estimation is very usual in survey sampling. It is often addressed by using implicit or explicit domain models between the interest variable and the auxiliary variables. The goal here is to estimate totals of electricity consumption curves over domains or areas. Three approaches are compared: the rst one consists in modeling th…
Smart transportation as a driver of transition: Big data management, behavioral change and the shift to automated vehicles
2017
Background: Smart mobility can contribute to the design of “Smart cities” to answer users’ requests in terms of transport network efficiency, environmental and social sustainability. Focusing on urban smart mobility issues, the most important aspects are the presence of a connected transportation system, the availability of its information in the arrangement of digital data and the possibility to rapidly communicate it in an effective way to the citizens, urban transportation stakeholders andlocal authorities. Therefore, the challenges for the new era of mobility behavior would range from the effort of big data management and the need to shape the innovation of traveler demand to the change…
A big data approach for sequences indexing on the cloud via burrows wheeler transform
2020
Indexing sequence data is important in the context of Precision Medicine, where large amounts of "omics"data have to be daily collected and analyzed in order to categorize patients and identify the most effective therapies. Here we propose an algorithm for the computation of Burrows Wheeler transform relying on Big Data technologies, i.e., Apache Spark and Hadoop. Our approach is the first that distributes the index computation and not only the input dataset, allowing to fully benefit of the available cloud resources. Copyright © 2020 for this paper by its authors.
IL REGISTRO REGIONALE DELLE CRONICITÀ: NUOVI ALGORITMI PER LA VALUTAZIONE DEI PROFILI DI CONSUMI PER CATEGORIE DIAGNOSTICHE IN SICILIA
2013
Introduzione. Conoscere la prevalenza di una malattia cronica è essenziale per una corretta programmazione delle risorse economiche e umane necessarie per l’implementazione delle strategie preventive e terapeutiche. La Base Dati degli Assistibili (BDA), sviluppata nell’ambito del Piano Operativo di Assistenza Tecnica alle Regioni dell’Obiettivo Convergenza (POAT) cui la Regione Sicilia partecipa attivamente, consente dianalizzare in modo integrato le informazioni provenienti dai diversi flussi informativi che la costituiscono. Obiettivi. Costituire un registro regionale delle cronicità in Sicilia, al fine di valutare i profili di consumi per categorie diagnostiche e stimarne i relativi cari…