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  • TrainingMaterial

    Introduction to Data Curation

    This course is an introduction to data collection, data preparation & transformation and data analysis. It contains the essential concepts for a researcher in order to...
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  • JournalArticle

    Attention dynamics on the Chinese social media Sina Weibo during the COVID-19...

    COVID-19 was first detected in Hubei province of China and has had severe impact on the life in the country since then. We investigate how this epidemic has influenced...
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  • ConferencePaper

    Why Are Learned Indexes So Effective

    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 trends...
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  • ConferencePaper

    Measuring What Counts The case of Rumour Stance Classification

    Stance classification can be a powerful tool for understanding whether and which users believe in online rumours. The task aims to automatically predict the stance of replies...
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  • JournalArticle

    The PGM-index a fully-dynamic compressed learned index with provable worst-ca...

    We present the first learned index that supports predecessor, range queries and updates within provably efficient time and space bounds in the worst case. In the (static)...
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  • JournalArticle

    Fairer machine learning in the real world

    Mitigating discrimination without collecting sensitive data Decisions based on algorithmic, machine learning models can be unfair, reproducing biases in historical data used...
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  • ConferencePaper

    Beyond Distributive Fairness in Algorithmic Decision Making

    Beyond Distributive Fairness in Algorithmic Decision Making Feature Selection for Procedurally Fair Learning With widespread use of machine learning methods in numerous...
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  • ConferencePaper

    Private traits and attributes are predictable from digital records of human b...

    We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes...
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  • JournalArticle

    Spatio temporal visual analytics a vision for 2020s

    Visual analytics is a research discipline that is based on acknowledging the power and the necessity of the human vision, understanding, and reasoning in data analysis and...
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  • JournalArticle

    Co Bridges Pair wise Visual Connection and Comparison for Multi item Data Str...

    In various domains, there are abundant streams or sequences of multi-item data of various kinds, e.g. streams of news and social media texts, sequences of genes and sports...
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  • JournalArticle

    Automating and utilizing equal-distribution data classification

    Data classification, i.e., organising data items in groups (classes), is a general technique widely used in data visualisation and cartography, in particular, for creation of...
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  • TrainingMaterial

    Social Network Analysis @MasterBigData2022

    This course introduces students to the theories, concepts, and measures of Social Network Analysis (SNA), which is aimed at characterizing the structure of large-scale Online...
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  • TrainingMaterial

    Social Network Analysis

    Social Network Analysis course @ Master SoBigData This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at...
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  • JournalArticle

    A Survey of Methods for Explaining Black Box Models

    In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of...
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  • TrainingMaterial

    Complex Network Analysis Lecture

    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....
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  • TrainingMaterial

    Tutorial on Learning To Rank

    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...
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  • TrainingMaterial

    GATE Course

    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...
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  • TrainingMaterial

    Data Mining and Machine Learning Module

    The module provides an introduction to base concepts of data mining and knowledge extraction process, introducing analytical models and algorithms for clustering,...
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  • TrainingMaterial

    Visual Analytics for Data Scientists

    Participants to this module shall -    Learn the principles and rules underlying the design of visual data representations and human-computer interactions -    Understand,...
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  • TrainingMaterial

    Data Mining and Machine Learning for Social Science

    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...
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