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Article
Open AccessBoosting HPC data analysis performance with the ParSoDA-Py library
Develo** and executing large-scale data analysis applications in parallel and distributed environments can be a complex and time-consuming task. Developers often find themselves diverted from their applicati...
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Article
Open AccessBlock size estimation for data partitioning in HPC applications using machine learning techniques
The extensive use of HPC infrastructures and frameworks for running data-intensive applications has led to a growing interest in data partitioning techniques and strategies. In fact, application performance ca...
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Chapter and Conference Paper
Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT
Every day, many people use social media platforms to share information, thoughts, narratives and personal experiences. The vast volume of user-generated content offers valuable insights into the latest news an...
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Chapter and Conference Paper
Topic Detection and Tracking in Social Media Platforms
The large amount of information available on the Web can be effectively exploited in several domains, ranging from opinion mining to the analysis of human dynamics and behaviors. Specifically, it can be levera...
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Article
Open AccessAnalyzing voter behavior on social media during the 2020 US presidential election campaign
Every day millions of people use social media platforms by generating a very large amount of opinion-rich data, which can be exploited to extract valuable information about human dynamics and behaviors. In thi...
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Article
Open AccessProgramming big data analysis: principles and solutions
In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security...
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Living Reference Work Entry In depth
Workflow Systems for Big Data Analysis
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Living Reference Work Entry In depth
Cloud Computing for Big Data Analysis
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Article
Open AccessUsing social media for sub-event detection during disasters
Social media platforms have become fundamental tools for sharing information during natural disasters or catastrophic events. This paper presents SEDOM-DD (Sub-Events Detection on sOcial Media During Disasters...
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Chapter and Conference Paper
Cloud Computing for Enabling Big Data Analysis
Every day billions of people access web sites, blogs, and social media. Often they use their mobile devices and produce huge amount of data that can be effectively exploited for extracting valuable information...
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Chapter and Conference Paper
Develo** a Cloud-Based Algorithm for Analyzing the Polarization of Social Media Users
Social media analysis is a fast growing research area aimed at extracting useful information from social media. Several opinion mining techniques have been developed for capturing the mood of social media user...
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Chapter and Conference Paper
Discovering Travelers’ Purchasing Behavior from Public Transport Data
In recent years, the demand for collective mobility services is characterized by a significant growth. The long-distance coach market has undergone an important change in Europe since FlixBus adopted a dynamic...
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Chapter and Conference Paper
A Novel Data-Centric Programming Model for Large-Scale Parallel Systems
This paper presents the main features and the programming constructs of the DCEx programming model designed for the implementation of data-centric large-scale parallel applications on Exascale computing platforms...
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Reference Work Entry In depth
Cloud Computing for Big Data Analysis
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Reference Work Entry In depth
Workflow Systems for Big Data Analysis
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Article
ParSoDA: high-level parallel programming for social data mining
Software systems for social data mining provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a high-level library for ...
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Chapter and Conference Paper
Appraising SPARK on Large-Scale Social Media Analysis
Software systems for social media analysis provide algorithms and tools for extracting useful knowledge from user-generated social media data. ParSoDA (Parallel Social Data Analytics) is a Java library for dev...
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Article
Analyzing polarization of social media users and news sites during political campaigns
Social media analysis is a fast growing research area aimed at extracting useful information from social networks. Recent years have seen a great interest from academic and business world in using social media...
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Chapter
Implementing MapReduce Applications in Dynamic Cloud Environments
MapReduce is one of the most popular programming models for parallel data processing in Cloud environments. Standard MapReduce implementations are based on centralized master-slave architectures that do not co...
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Chapter
Big Data Analysis on Clouds
The huge amount of data generated, the speed at which it is produced, and its heterogeneity in terms of format, represent a challenge to the current storage, process and analysis capabilities. Those data volum...