Search results for "Big data"
showing 10 items of 311 documents
Knowledge Extraction from Biological and Social Graphs
2022
Many problems from the real life deal with the generation of enormous, varied, dynamic, and interconnected datasets coming from different and heterogeneous sources. This PhD Thesis focuses on the proposal of novel knowledge extraction techniques from graphs, mainly based on Big Data methodologies. Two application contexts are considered: Biological and Medical data, with the final aim of identifying biomarkers for diagnosis, treatment, prognosis, and prevention of diseases. Social data, for the optimization of advertising campaigns, the comparison of user profiles, and neighborhood analysis.
An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User Needs
2023
AbstractMost members of the public, including patients, usually obtain health information from Web searches using generic search engines, which is often overwhelming, too generic, and of poor quality. Although patients may be better informed, they are often none the wiser and not empowered to communicate with medical professionals so that their care is compatible with their needs, values, and best interests. Intelligent Empowering Agents (IEA) use AI to filter medical information and assist the user in the understanding of health information about specific complaints or health in general. We have designed and developed a prototype of an IEA that dialogues with the user in simple language, c…
A hybrid system for malware detection on big data
2018
In recent years, the increasing diffusion of malicious software has encouraged the adoption of advanced machine learning algorithms to timely detect new threats. A cloud-based approach allows to exploit the big data produced by client agents to train such algorithms, but on the other hand, poses severe challenges on their scalability and performance. We propose a hybrid cloud-based malware detection system in which static and dynamic analyses are combined in order to find a good trade-off between response time and detection accuracy. Our system performs a continuous learning process of its models, based on deep networks, by exploiting the growing amount of data provided by clients. The prel…
Heart of Stone... and of Data
2019
Sono i data oggi a definire i luoghi e in particolare la narrazione degli stessi
Big data analytics and internationalisation in Italian firms
2022
The chapter focuses on the role of big data in developing firms’ international e-commerce. We explore the effect of three different types of big data approaches on the probability of firms entering international markets via web sales. Specifically, we consider the following approaches: (a) use of big data managed by internal firm staff; (b) use of big data managed by specialised consulting firms; and (c) use of big data jointly managed by internal firm staff and specialised consultant firms. Applying qualitative data models on a large sample of Italian firms (about 18,900 firms), we find that the use of big data managed by internal staff or by specialised consulting firms is positively asso…
Gli algoritmi di classificazione per i Big Data e la loro valutazione
2020
La classificazione è uno degli obiettivi principali dell’analisi dei Big Data. In questo capitolo, presento la tecnica degli alberi decisionali. Ne riassumo, anzitutto, la logica di base e ne illustro, a partire da un semplice esempio, alcuni dettagli computazionali. Successivamente, utilizzando KNIME, una potente piattaforma user friendly per l’analisi dei Big Data, analizzo un dataset remoto su Amazon S3, mostro i principali risultati ottenuti e accenno ad alcune strategie più complesse d’analisi. Concludo il contributo con una panoramica sulle metriche e le tecniche più diffuse per valutare la bontà di un modello di classificazione e con un bilancio metodologico sulle applicazioni degli …
LA MOBILITÀ EXTRA-REGIONALE. I DIVERSI TIPI DI MOBILITÀ E ANALISI DELLE SPESE PER TIPOLOGIA DI PRESTAZIONE IN SICILIA ATTRAVERSO L’USO DELLA BASE DATI
2013
Introduzione. È noto come un fenomeno che spesso faaumentare i costi della sanità senza modificare la qualità dell’assistenza è la mobilità sanitaria. D’altra parte, la mobilità sanitaria è un diritto dei cittadini che possono rivolgersi a qualsiasistruttura, senza vincoli territoriali, per cercare una risposta ai propri bisogni. Obiettivi. Il presente lavoro vuole indagare alcune delle principali caratteristiche della mobilità extraregionale, o mobilità passiva, definita dai soggetti residenti in regione che fruiscono dell’assistenza sanitaria in regioni diverse da quella di appartenenza. Attraverso l’utilizzo della BDA – sviluppata nell’ambito del Piano Operativo di Assistenza Tecnica all…
Identifying the k Best Targets for an Advertisement Campaign via Online Social Networks
2020
We propose a novel approach for the recommendation of possible customers (users) to advertisers (e.g., brands) based on two main aspects: (i) the comparison between On-line Social Network profiles, and (ii) neighborhood analysis on the On-line Social Network. Profile matching between users and brands is considered based on bag-of-words representation of textual contents coming from the social media, and measures such as the Term Frequency-Inverse Document Frequency are used in order to characterize the importance of words in the comparison. The approach has been implemented relying on Big Data Technologies, allowing this way the efficient analysis of very large Online Social Networks. Resul…
Identification of clusters of investors from their real trading activity in a financial market
2012
We use statistically validated networks, a recently introduced method to validate links in a bipartite system, to identify clusters of investors trading in a financial market. Specifically, we investigate a special database allowing to track the trading activity of individual investors of the stock Nokia. We find that many statistically detected clusters of investors show a very high degree of synchronization in the time when they decide to trade and in the trading action taken. We investigate the composition of these clusters and we find that several of them show an over-expression of specific categories of investors.
Knowledge Extraction from Biological and Social Graphs
2022
Many problems from real life deal with the generation of enormous, varied, dynamic, and interconnected datasets coming from different and heterogeneous sources. Analysing large volumes of data makes it possible to generate new knowledge useful for making more informed decisions, in business and beyond. From personalising customer communication to streamlining production processes, via flow and emergency management, Big Data Analytics has an impact on all processes. The potential uses of Big Data go much further: two of the largest sources of data are including individual traders’ purchasing history, the use of Biological Networks for disease prediction or the reduction and study of Biologic…