The 'Database Module' aims to introduce database analysis, focusing on DBMS architecture, Relational Models, SQL language and SQL nested queries. It is part of the Master in...

Study, design and analysis of IR systems which are efficient and effective to process, mine, search, cluster and classify bigdata document collections, coming from textual as...

The training material provided by the University of Tartu is about the Business Data Analytics course. This course is meant for students as a hands-on experience for solving...

An Apache Spark framework for easy data processing, extraction as well as derivation for archival collections. Originally developed for the use with Web archives, it has now...

This tutorial provides an 'Introduction to Learning to Rank' and focuses on 'Dealing with the Efficiency/Effectiveness trade-off in Web Search'. Moreover, it provides two...

The goals of this module are: - Have a general knowledge of text mining problems and methods. - Recognize situations in which Sentiment Analysis techniques can solve...

The material is the 2017 version of a week-long training course delivered annually by the GATE team. Over almost ten years, this course has been developed to provide basic and...

This module provides an introduction to information storage and management performed in order to support business decisions of organizations. It is part of the Master in Big...

The module provides an introduction to base concepts of data mining and knowledge extraction process, introducing analytical models and algorithms for clustering,...

Participants to this module shall -    Learn the principles and rules underlying the design of visual data representations and human-computer interactions -    Understand,...

This module provides an introduction to the concepts of vision and perception in order to design an effective data visualisation. Moreover, it provides insight into visual...

Slide from the Summer School on Computational Misinformation Analysis 2019 lesson

Starting from an analysis of the EU Reg. n. 2016/679 on General Data Protection Regulation (GDPR), the Author deals with the opportunity to translate the current strategies on...

This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The...

In this seminar cycle, students are guided in the direct usage of a powerful C++ library implementing many state-of-the-art compressed data structures for big data. Other than...

The rise of “Big Data” analytics in the private sector poses new challenges for privacy advocates. Through its reliance on existing data and predictive analysis to create...

Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...

Information technology allows us to generate, store, and process huge quantities of data. Search engines, satellites, sensor networks, scientists, security agencies,...

Federated learning (FL) is an alternative to centralized machine learning (ML) that builds a model across multiple decentralized edge devices (a.k.a. workers) that own the...

Unveil the homophilic/heterophilic behaviors that characterize the wiring patterns of complex networks is an important task in social network analysis, often approached...