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Fadele Ayotunde Alaba, Alvaro Rocha
The Implication of Cyberattacks on Big Data and How to Mitigate the Risk

This comprehensive book explores the challenges posed by cyberattacks on big data systems and their corresponding mitigation strategies. The book is organized into logical chapters, each focusing on speci…

lieferbar innerhalb 2-3 Wochen

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Marek Amanowicz, Sebastian Szwaczyk, Konrad Wrona
Data-Centric Security in Software Defined Networks (SDN)

Introduction.- Data-centric security.- Software Defined Networks.- Cross-layer enforcement of data security in SDN.- Risk-aware routing in SDN.- Risk-aware routing applicability for DCS enforcement.- DCS …

lieferbar innerhalb 2-3 Wochen

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Tomaso Aste
Probabilistic Data-Driven Modeling

"This book introduces a powerful selection of methodologies and approaches for constructing models from data from various domains from statistics to complexity science. This book uses the estimation …

lieferbar innerhalb 2-3 Wochen

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Christian Bauckhage, Rafet Sifa
Quantum Computing from Hopfield Nets

Preface.- Part I. Preliminaries.- 1. Setting the Stage.- 2. Boolean Domains, Numbers, and Vectors.- 3. Kronecker Products.- 4. QUBOs.- 5. QUBO Models.- Part II. Hopfield Nets.- 6. Hopfield Nets.- 7. Hopfi…

lieferbar innerhalb 2-3 Wochen

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Deepshikha Bhati, Fnu Neha, Angela Guercio, Md Amiruzzaman
A Beginner's Guide to Generative AI

This book is the essential guide for anyone curious about AI's creative power. In the rapidly evolving landscape of artificial intelligence, generative AI stands out as one of the most transformative tech…

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Yen-Wei Chen, Lanfen Lin, Rahul Kumar Jain
Recent Advances in Deep Learning for Medical Image Analysis

This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines. In r…

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Yen-Wei Chen, Xiang Ruan, Rahul Kumar Jain
Recent Advances in Logo Detection Using Machine Learning Paradigms

This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and doma…

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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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Erik Cuevas, Angel Chavarin-Fajardo, Cesar Ascencio-Piña, Sonia Garcia-De-Lira
Optimization Strategies: A Decade of Metaheuristic Algorithm Development

This book is to explore the development of metaheuristic algorithms over the past decade, focusing on key advancements in their components and structural features, which have driven progress in search tec…

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Maria Teresa Cuomo, Pantea Foroudi
Quantum Level Business Model: A New Managerial Perspective

Bridging Quantum level paradigm and Business Management.- Quantum Decision-Making Process.- Organizational Design and Quantum Thinking.- Quantum leadership in the era of complexity.- Tools and Techniques …

lieferbar innerhalb 2-3 Wochen

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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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Alberto Ferrari, Marco Russo
The Definitive Guide to DAX

Unlock the full potential of your data with this new edition of The Definitive Guide to DAX by Alberto Ferrari and Marco Russo, the ultimate resource for mastering the DAX language used in Microsoft Power…

lieferbar ab 7.3.2026.

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Alain Franc
Linear Dimensionality Reduction

Introduction.- 2. Principal Component Analysis (PCA).- 3. Complements on PCA.- 4. PCA with Metrics on Rows and Columns.- 5. Correspondence Analysis.- 6. PCA with Instrumental Variables.- 7. Canonical Corr…

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Paula Friedrich
To be healed or to be hacked

Introduction.- Theoretical Background.- Pre-Study.- Main Study.- Conclusion and Future Work.

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics. It develops the foundations and details a num…

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Arfan Ghani
Innovations in Computer Vision and Data Classification

This book delves into the dynamic realm of data classification, focusing on its real-world applications. Through an insightful journey, readers are introduced to the practical applications of reconfigurab…

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Ian Gordon, Neil Thompson
Data and the Built Environment

This book takes a data-first approach to framing the built environment sector's unique challenges and how industry can address them through better use of data. It describes how the sector has failed to de…

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Beatriz Graça, Manuel Au-Yong-Oliveira
Competitiveness Strategies for Negative Organizations

The book aims to describe how a certain type of organisation may come into existence and may even become prevalent in society - what we call a negative organisation. This type of organization is one where…

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Chris Hesselbein, Paolo Bory
Infrastructures of Reality: Metaverse Stories, Spaces, Bodies

Why the Metaverse?.- Metaverse Stories.- Metaverse Spaces.- Metaverse Bodies.- Whose Metaverse?.

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Omar Hijab
Math for Data Science

Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, computer scienc…

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