Dataset composed of 30 privacy policies of online platforms, annotated to assess the level of comprehensiveness of information. This work focuses on the processed categories...

This synthetic dataset was generated using Gaussian Copula Synthesizer, based on real data from three different photovoltaic plants. The dataset is structured to preserve the...

This dataset consists of English-language chats involved in conspiracy discussions on Telegram. The data was collected using a snowball crawling technique that leverages...

This dataset contains English-language Telegram data focused on discussions related to conspiracy theories and involved in discussions around financial and cryptocurrency...

This dataset contains Italian-language Telegram chats focused on conspiracy discussions. It was collected using a snowball sampling technique based on message forwarding,...

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...

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

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...

Web archives are typically very broad in scope and extremely large in scale. This makes data analysis appear daunting, especially for non-computer scientists. These...

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...

King’s College London developed a variety of data science materials based on R and Python. R is a de facto standard in statistical computing and visualisation, while our...

Mining with big data or big data mining has become an active research area. Running current analytical methodologies and software tools on a single personal computer cannot...

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...

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 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 course developed by Universitat Politècnica de Catalunya and Barcelona Supercomputing Center provides an applied approach to Deep Learning. It chooses to present an...

The dataset was collected as part of the IBIS ECO project ("IoT-based Building Information System for Energy Efficiency & Comfort"), an initiative aimed at implementing an...