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...

King’s College London has developed complete stories around Jupyter Notebooks that form easy recipes for reproducible methods in social data science. Jupyter...

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,...

The material is a 20 minute video presentation describing the GATE team's work investigating online abuse of UK politicians. The video comprises slides and a voice-over. The...

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...

The micro-project has developed a python module for the generation of networks with fractal topologies, in particular Sierpinski graphs for the task involved in T8.4 Complex...

Slide from the Summer School on Computational Misinformation Analysis 2019 lesson

A recent trend in algorithm design consists of augmenting classic data structures with machine learning models, which are better suited to reveal and exploit patterns and...

The extraction of main content from web pages is an important task for numerous applications, ranging from usability aspects, like reader views for news articles in web...

This paper shows data science’s potential for disruptive innovation in science, industry, policy, and people’s lives. We present how data science impacts science and society...

Anonymization for privacy-preserving data publishing, also known as statistical disclosure control (SDC), can be viewed under the lens of the permutation model. According to...

Data Science is rapidly changing the way we do business, socialize, and govern society. It is also changing the way scientifc research is performed. A new paradigm is...

Our remarks focus on two main issues: 1) providing operational tools to link the ethics and the legal dimension of a Trustworthy AI avoiding risks of ethics washing; 2) the...

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...

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases),...