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Data Protection, Privacy and Artificial Intelligence, Volume 17

This book 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.The question…

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Yangquan Chen, Haoyu Niu
Smart Big Data in Digital Agriculture Applications

In the dynamic realm of digital agriculture, the integration of big data acquisition platforms has sparked both curiosity and enthusiasm among researchers and agricultural practitioners. This book embarks…

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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…

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Applications of Artificial Intelligence and Data Science

.- Advanced Computing and Statistics.- Towards Reserve Margin Correction via Outage Capacity Forecasting Using Gramian Angular Field and Long Short-Term Memory (LSTM). .- Comparison of Hyperspectral Image…

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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 …

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Theresa Payton, Ted Claypoole
Privacy in the Age of Big Data

A thorough update to a classic in the field of privacy and big data .We have a global privacy problem. The average person provides more information about themselves to more outsiders than any time in hist…

lieferbar ab 6.8.2026.

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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…

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Xuemin Shen (Sherman), Dongxiao Liu
Blockchain-Based Data Security in Heterogeneous Communications Networks

This book investigates data security approaches in Heterogeneous Communications Networks (HCN). First, the book discusses the urgent need for a decentralized data management architecture in HCN. The book …

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

The choice between BE and GET as auxiliary verbs, as in "She was promoted" vs "She got promoted", is a central,grammatical feature, yet the many proposed nuances conditioning this phen…

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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…

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J. Nathan Kutz
Data-Driven Modeling & Scientific Computation

Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data is an accessible introductory-to-advanced textbook focusing on integrating scientific computing methods and al…

lieferbar ab 15.5.2026.

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Andrew Guthrie Ferguson
Your Data Will Be Used Against You

Interrogates how digital self-surveillance can be turned against us by police, prosecutors, and political whimsFor consumers living in a digitally-connected world, smart technologies have built an inescap…

lieferbar ab 17.3.2026.

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Data-Centric Business and Applications

.- Intelligent Compliance as a Fundamental Tool for Ukraine's Economic Security.- The Convergence of Artificial Intelligence with the Circular Economy.- Urban Planning Principles and Models of Reconstruct…

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Chirag Shah
A Hands-On Introduction to Data Science with Python

Students will develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with numerous exercises and examples in…

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Raphael Röttinger
Data Analysis and Risk Modelling for Terrorism Prevention:

In the field of terrorism prevention, data analysis plays a critical role in developing predictive models to address the growing complexity of modern terrorist tactics. This book examines the challenges, …

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István Fekete
Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains

This book sheds new light on metrics like Minimal Clinically Important Difference (MCID) or Minimal Important Difference (MID) by discussing their application beyond traditional medical fields into non-cl…

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The Value of Consumer Data in the Digital Economy

Verbraucherdaten sind längst Währung der digitalen Ökonomie - doch wie bestimmt sich ihr Wert, wer darf sie handeln und wann werden "kostenlose" Angebote zu einem Preis? Der Band liefert den Run…

lieferbar ab 28.2.2026.

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Chirag Shah
A Hands-On Introduction to Data Science with Python

Develop a practical understanding of data science with this hands-on textbook for introductory courses. This new edition is fully revised and updated, with an exclusive focus on the popular data science t…

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Business Intelligence, Computational Mathematics, and Data Analytics

.- Marketing Curriculum Evolution: Developing a Data-driven decision making mindset..- Facial Expression Tracking and Analysis in Video through Motion with SqueezeNet and SGD..- AI and Machine Learning: R…

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Markus Bayer
Deep Learning in Textual Low-Data Regimes for Cybersecurity

Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.-…

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