We introduce the first “learned” scheme for implementing a compressed rank/select dictionary. We prove theoretical bounds on its time and space performance both in the worst...

We critically re-examine the Saerens-Latinne-Decaestecker (SLD) algorithm, a well-known method for estimating class prior probabilities (“priors”) and adjusting posterior...

This webinar was organised by the Network Medicine Exploratory (WP10) and hosted Enrico Maiorino. Enrico Maiorino is a very esteemed researcher at Brigham Women's Hospital,...

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

In this webinar, we introduce you to the SoBigData R.I. Are shown the main features of the SoBigData R.I. It is explained how to integrate a new method, how to execute an...

This webinar, which took place on 6 July 2021, focused on the interplay between legal data and data science. The webinar, entitled ‘Legal Materials as Big Data: (algo)Rithms to...

This webinar, which took place on 10 November 2020, was aimed at exploring the theme of data protection and intellectual property issues in platforms. The first speaker was...

This webinar, which took place on 10 November 2020, was aimed at exploring the theme of data protection and intellectual property issues in platforms. The first speaker was...

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...