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Smart Applications and Data Analysis

This two-volume set CCIS 2167-2168 constitutes the proceedings of the 5th International Conference on Smart Applications and Data Analysis, SADASC 2024, held in Tangier, Morocco, in April 2024. The 30 ful…

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Allon Adir, Ehud Aharoni, Omri Soceanu, Ronen Levy
Homomorphic Encryption for Data Science (HE4DS)

This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The author…

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Modern Artificial Intelligence and Data Science 2024

This book, through its various chapters presenting recent advances in Modern Artificial Intelligence and Data Science as well as their applications, aims to set up lasting and real applications necessary …

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Sara Mannheimer
Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research

This book explores the connections between qualitative data reuse, big social research, and data curation. A review of existing literature identifies the key issues of context, data quality and trustworth…

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Private Law and the Data Act

With a practical perspective, this book deals with the EU's new data act, which contains standardised, directly applicable rules for fair access to data and the use of data. This data law is of central im…

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Information Management and Big Data

This book constitutes the refereed proceedings of the 10th Annual International Conference on Information Management and Big Data, SIMBig 2023, held in Mexico City, Mexico, during December 13¿15, 2023.The…

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Arshad Khan
Data Ethics in the Age of AI

In a world increasingly shaped by data and artificial intelligence, the ethical challenges surrounding data use have never been more critical. Data Ethics in the Age of AI provides a compelling exploratio…

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G. Arockia Sahaya Sheela
LAB MANUAL - C++ & DATA STRUCTURES

The C++ and Data Structures Lab Manual is a comprehensive guide designed to help students develop a strong foundation in both programming and efficient data management. The manual begins with basic C++ co…

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Edward Gunning, Norma Bargary, Andrew J. Harrison, John Warmenhoven
Functional Data Analysis in Biomechanics

This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications. The core of the bo…

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Jean-Georges Perrin, Eric Broda
Implementing Data Mesh

"As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively. Data Mesh is one solution that provides a new approach to managing data i…

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Axel Bohmann, Julia Müller, Mirka Honkanen, Miriam Neuhausen
Linguistic Data Science and the English Passive

Employs a combination of machine-learning tools to study the choice of English passive auxiliary, BE vs GET, in several large corpora, both diachronically and across varieties.

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Ian Nicolson, Richard Nicolson
The Boat Data Book 8th Edition

"... tables of lengths, widths, weights and strengths as well as new data on a vast range of equipment from anchors to masts, propellers to gas cylinders, cleat sizes to winch bases, and hatches to b…

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Data Analytics for Internet of Things Infrastructure

This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the us…

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Johannes Gerbershagen
SAP-Praxishandbuch ABAP Core Data Services (CDS)

ABAP Core Data Services (CDS) sind auf komplexe Datenbeschaffungsszenarien bei der Entwicklung klassischer ABAP- wie auch moderner UI-Applikationen ausgerichtet. Die vorliegende zweite Auflage des Praxish…

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

Applied Machine Learning for Data Science Practitioners Vidya SubramanianA single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning (M…

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Dalia Chakrabarty
Learning in the Absence of Training Data

This book introduces the concept of ¿bespoke learning¿, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.…

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Computational Intelligence in Data Science

This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023. Th…

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Gary Archer, Judith Kahrer, Michal Trojanowski
Cloud Native Data Security with OAuth

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to acces…

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Feng Qian, Gulan Zhang, Shengli Pan
Tensor Computation for Seismic Data Processing

This book aims to provide a comprehensive understanding of tensor computation and its applications in seismic data analysis, exclusively catering to seasoned researchers, graduate students, and industrial…

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Philip Laue, Judith Nink, Sascha Kremer
European Data Protection Law in Practice

The Book This guide explains European data protection law for practitioners, giving the users the necessary guidance to remain up-to-date and assess the consequences. The book features multiple examples a…

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