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Data Protection, Privacy and Artificial Intelligence, Volume 17

Examines the discourse and developments surrounding privacy and data protection in the digital realm, featuring papers and discussions from the 2024 CPDP.ai international conference.

Statistical Models and Learning Methods for Complex Data

This book on statistical models and learning methods for complex data comprises a selection of peer-reviewed post-conference papers presented at the 14th Scientific Meeting of the Classification and Data …

Regina Stodden

Automatic German Text Simplification: Data, Evaluation, and Models

Texts written in simplified language are essential for accessible communication. However, manually writing accessible texts or simplifying difficult-to-read texts into accessible language is very time-con…

Shishir Kumar Shandilya, Agni Datta, Yash Kartik, Atulya Nagar

Digital Resilience: Navigating Disruption and Safeguarding Data Privacy

This book offers an in-depth overview of digital resilience, defined as the ability of individuals, organizations, and societies to adapt to and counter various digital threats such as cyberattacks, data …

Gianvito Lanzolla, Constantinos Markides

Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

Ashis Sengupta, Kunio Shimizu

Probability Distributions for Directional Data on Smooth Manifolds

This book provides a comprehensive and rigorous treatment of real-life scientific problems which encounter non-linear data. The authors first present methods for developing distributions on a circle. Then…

Artificial Intelligence and Data Sciences for Precision Agriculture

Global human population is increasing rapidly, and it has been estimated to reached 9.7 billion by year 2050. With this massive population growth, the greatest challenge is sustainable food production. Th…

City in the Cloud - Data on the Ground

This book investigates the hidden physical infrastructures behind the digital world. Data may appear immaterial, but it relies on extensive global networks: the extraction of raw materials, the deployment…

Jorge Drexler

Bailar En La Cueva

Data Science and Exploration in Artificial Intelligence

This open access book constitutes the proceedings of the Second International Conference on Data Science and Exploration in Artificial Intelligence, CODE-AI 2025, which took place in Dubai, UAE, during Ap…

Gianvito Lanzolla, Constantinos Markides

Diversification in the World of Data and AI

Building on field research and the existing literature on digitalization and diversification, this Element shows how external technological and market changes influence the extent and type of diversificat…

Data-Centric Business and Applications

This book explores the profound impact of data on company operations, decision-making, and application development. The book delves into sophisticated information and knowledge management principles, incl…

Data-Centric Business and Applications

Embark on a journey into the future of business with a groundbreaking book that explores the dynamic interplay between data and business, unlocking its transformative power in strategy, decision-making, a…

Universality of semantic frames and language specific Bulgarian data

The book Universality of semantic frames and language specific Bulgarian data is devoted to the principles of data organisation in the Bulgarian FrameNet, which has been in development for more than 20 ye…

Age K. Smilde, Federico Marini, Johan A. Westerhuis, Kristian Hovde Liland

Analysis of Variance for High-Dimensional Data

Overview of methods for analyzing high-dimensional experimental data, including theory, methodologies, and applicationsAnalysis of Variance for High-Dimensional Data summarizes all the methods to analyze …

Perspectives on Logics for Data-driven Reasoning

This book calls for a rethinking of logic as the core methodological tool for scientific reasoning in the context of a steadily increasing emphasis on data-centered science. To do so it provides a state-o…

Andrei P. Kirilenko

Practical Data Mining with AI for Social Scientists

This book is designed as a foundational textbook for upper-level undergraduate and graduate students from non-technical fields who want to acquire a basic understanding of data science and learn practical…

Steven L. Brunton, J. Nathan Kutz

Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation…

Peter H. Gregory

CDPSE Certified Data Privacy Solutions Engineer Study Guide

Prepare for the CDPSE exam and build hands-on, technical privacy skillsCDPSE Certified Data Privacy Solutions Engineer Study Guide delivers focused, efficient preparation for the 2025 ISACA CDPSE exam. Wr…