The Data Inquiries Initiative (http://datainquiries.publicdatalab.org/) proposes a new way to do research with data and to teach data literacy. It suggests, in particular, to...

These slides are for a lecture “Network analysis”, of 851-0585-38L Data Science in Techno-Socio-Economic Systems course presented in the spring semester 2021 at ETH Zurich....

Efficiency/Effectiveness Trade-offs in Learning to Rank” tutorial by Claudio Lucchese and Franco Maria Nardini at the European Conference on Machine Learning and Principles...

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...

The module aims to teach how to present the knowledge extracted from big data using multimedia story telling. It also shows some of the most recent and meaningful experiences...

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...

An introductory course for data mining and machine learning for social science. The course focuses on presenting typical data mining and machine learning techniques by using a...

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...

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...

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...