A5005904043- Data Management and Algorithms
- Advanced Database Systems and Queries
- Data Mining Algorithms and Applications
- Semantic Web and Ontologies
- Data Stream Mining Techniques
- Misinformation and Its Impacts
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Complex Network Analysis Techniques
- Web Data Mining and Analysis
- Advanced Malware Detection Techniques
- Scientific Computing and Data Management
- Advanced Clustering Algorithms Research
- Algorithms and Data Compression
- Sentiment Analysis and Opinion Mining
- Network Security and Intrusion Detection
- Business Process Modeling and Analysis
- Human Mobility and Location-Based Analysis
- Spam and Phishing Detection
- Mobile Crowdsensing and Crowdsourcing
- Mining Techniques and Economics
- Cloud Computing and Resource Management
- Peer-to-Peer Network Technologies
- Service-Oriented Architecture and Web Services
- Data Quality and Management
University of Naples Federico II
2019-2025
Université de Toulouse
2024
Federico II University Hospital
2019-2023
Institute for High Performance Computing and Networking
2012-2022
National Research Council
2011-2022
Consorzio Roma Ricerche
2021
University of Calabria
2000-2018
UCLA Health
2018
Interactions, Corpus, Apprentissages, Représentations
2005-2017
Indian Council of Agricultural Research
2003-2015
Nowadays, really huge volumes of fake news are continuously posted by malicious users with fraudulent goals thus leading to very negative social effects on individuals and society causing continuous threats democracy, justice, public trust. This is particularly relevant in media platforms (e.g., Facebook, Twitter, Snapchat), due their intrinsic uncontrolled publishing mechanisms. problem has significantly driven the effort both academia industries for developing more accurate detection...
Because of the widespread diffusion semistructured data in XML format, much research effort is currently devoted to support storage and retrieval large collections such documents. documents can be compared as their structural similarity, order group them into clusters so that different storage, retrieval, processing techniques effectively exploited. In this scenario, an efficient effective similarity function key a successful management process. We present approach for detecting between...
Abstract The pervasive diffusion of Social Networks (SN) produced an unprecedented amount heterogeneous data. Thus, traditional approaches quickly became unpractical for real life applications due their intrinsic properties: large user-generated data (text, video, image and audio), heterogeneity high speed generation rate. More in detail, the analysis user generated by popular social networks (i.e Facebook ( https://www.facebook.com/ ), Twitter https://www.twitter.com/ Instagram...
The world has to face health concerns due huge spread of COVID. For this reason, the development vaccine is need hour. higher distribution, immunity against coronavirus. Therefore, there a analyse people's sentiment for campaign. Today, social media rich source data where people share their opinions and experiences by posts, comments or tweets. In study, we have used twitter vaccines COVID analysed them using methods artificial intelligence geo-spatial methods. We found polarity tweets...
Since the spread of coronavirus flu in 2019 (hereafter referred to as COVID-19), millions people worldwide have been affected by pandemic, which has significantly impacted our habits various ways. In order eradicate disease, a great help came from unprecedentedly fast vaccines development along with strict preventive measures adoption like lockdown. Thus, world wide provisioning was crucial achieve maximum immunization population. However, vaccines, driven urge limiting pandemic caused...
A distributed system for approximate query answering on sensor network data is proposed, where a suitable compression technique exploited to represent and support answering. Each node of the stores either detailed or summarized readings. Query answers are computed by identifying set nodes that contain (either compressed not) involved in query, eventually partitioning sub-queries be evaluated at different nodes. Queries partitioned according cost model aiming making evaluation efficient...
Due to the emerging Big Data paradigm, driven by increasing availability of intelligent services easily accessible a large number users (e.g., social networks), traditional data management techniques are inadequate in many real-life scenarios. In particular, huge amounts pertaining user interactions, preferences, and opinions calls for advanced analysis strategies understand potentially interesting dynamics. Furthermore, heterogeneity high speed user-generated require suitable storage tools...
XPath expressions define navigational queries on XML data and are issued documents to select sets of element nodes. Due the wide use XPath, which is embedded into several languages for querying manipulating data, problem efficiently answering has received increasing attention from research community. As efficiency computing answer an query depends its size, replacing with equivalent ones having smallest size a crucial issue in this direction. This article investigates minimization fragment...