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...

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

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

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...

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...

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...

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....

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...

The limits of data protection and anti-discrimination in responding to emergent discrimination The potential for biases being built into algorithms has been known for some time...

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

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 speed of development in Big Data and associated phenomena, such as social media, has surpassed the capacity of the average consumer to understand his or her actions and...

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...

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...

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...

The urban–rural divide is increasing in modern societies calling for geographical extensions of social influence modelling. Improved understanding of innovation diffusion...

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...

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...

Federated learning is a decentralized machine learning technique that aggregates partial models trained by a set of clients on their own private data to obtain a global model....