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    Tool

    Private KG creation assistant & Interlinking

    The Knowledge Graph creation assistant & Interlinking tool is designed to extract knowledge graphs from unstructured or semi-structured data sources and enrich their content.
  • JournalArticle

    Explaining misclassification and attacks in deep learning via random forests

    Artificial intelligence, and machine learning (ML) in particular, is being used for different purposes that are critical for human life. To avoid an algorithm-based...
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  • JournalArticle

    Big other Surveillance capitalism and the prospects of an information civiliz...

    This article describes an emergent logic of accumulation in the networked sphere, ‘surveillance capitalism,’ and considers its implications for ‘information civilization.’ The...
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  • TrainingMaterial

    Archive Crawling

    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...
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  • Experiment

    Annotazione semantica di delibere comunali

    Progetto POC per l'uso delle tecniche di text mining su documenti della pubblica amministrazione per migliorare la trasparenza e l’accesso alle informazioni da parte dei...
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  • TrainingMaterial

    Ego network analysis, information-driven social links and impact on informati...

    Slide from the Summer School on Computational Misinformation Analysis 2019 lesson
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  • TrainingMaterial

    Data Journalism and Story Telling

    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...
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  • TrainingMaterial

    High Performance and Scalable Analytics Module

    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...
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      The resource: 'Introduction to Spark' is not accessible as guest user. You must login to access it!
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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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  • TrainingMaterial

    Database Module

    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...
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  • BookChapter

    Information Technology Privacy and the Protection of Personal Data

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

    Information Retrieval Module

    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...
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  • ConferencePaper

    Efficient detection of Byzantine attacks in federated learning using last lay...

    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...
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  • TrainingMaterial

    Business Data Analytics Course

    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...
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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

    Archive Spark

    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...
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  • JournalArticle

    Conformity a Path-Aware Homophily measure for Node-Attributed Networks

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

    Efficiency - Effectiveness Trade-offs in Learning to Rank

    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...
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  • Dataset

    OpenAirInterface 5G Dataset: TCP Uplink Traffic Experiment with Two UEs

    The dataset comprises logs generated by OpenAirInterface (OAI) at the Medium Access Control (MAC) layer. It consists of a CSV file containing data collected from experiments...
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  • TrainingMaterial

    Compressed and Learned Data Structures Seminar

    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...
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