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Fortunato Pesarin, Luigi Salmaso
Permutation Tests for Complex Data

TIMELY UPDATE OF A POPULAR EDITION ON PERMUTATION TESTING WITH NUMEROUS CASE STUDIES INCLUDED THROUGHOUTThe newly revised and updated Second Edition of Permutation Tests for Complex Data describes permuta…

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Andres Fortino
Data Analysis for Business Decisions

In today's data-driven world, the ability to analyze and interpret data is no longer optional-it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to…

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Ugur Küpper
Data-driven Model for Process Evaluation in Wire EDM

Wire EDM is widely used for producing high-value components, requiring high process reliability and repeatability. This work focuses on developing data-driven models to evaluate wire EDM processes using r…

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Lillian Pierson
Data Science Essentials for Dummies

The pocket-sized guide to data scienceYou've just picked up a concise little book that covers all the fundamentals of data science. Data Science Essentials For Dummies distills everything you need to know…

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Data Analytics for Management, Banking and Finance

This book is a practical guide on the use of various data analytics and visualization techniques and tools in the banking and financial sectors. It focuses on how combining expertise from interdisciplinar…

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Stephen Dawe, Daniela Galatro
Data Analytics for Process Engineers

This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modell…

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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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Development Methodologies for Big Data Analytics Systems

This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development meth…

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Vaibhav Verdhan
Models and Algorithms for Unlabelled Data

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Al…

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Charles Givre
Applied Data Science for Cybersecurity

Discover how to apply contemporary data science and machine learning to cybersecurityIn Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre delive…

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Stergios Aidinlis
Big Data for the Public Good

Can researchers and innovators use UK public sector data to produce knowledge that improves policy making, scrutinises government work and promotes the public interest?This open access book looks at inter…

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Machine Learning and Data Mining for Sports Analytics

This book constitutes the refereed proceedings of the 11th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2024, held in Vilnius, Lithuania, on September 9, 2024.The …

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Carolyn Adams, Judy Allen, Felicity Flack
Sharing Linked Data for Health Research

This book will benefit researchers and research institutions by explaining the regulatory environment for access to government held data for research. The book will also be valuable to government policy m…

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Environmental Policy Science's Exploration for Innovative Data

This edited volume discusses the use of nontraditional data sources in environmental political research and its implications for policymaking. Researchers involved in natural resource investigations and p…

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IoT and Big Data Technologies for Health Care

This book constitutes the refereed proceedings of the 4th IoT Technologies for Health Care on IoT and Big Data Technologies for Health Care, IotCare 2023, held in Leicester, UK, during November 17--18, 20…

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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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Alex Ruiz de Villa
Causal Inference for Data Science

From the Back Cover:Causal Inference for Data Science introduces data-centric techniques and methodologies you can use to estimate causal effects. The book dives into the relationship between causal infer…

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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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Data Analytics for Smart Robotics and Its Applications

By offering a deep dive into the integration of robotics and IoT, this book provides actionable insights for developing autonomous systems that address complex real-world challenges in sectors such as hea…

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Data Science and Artificial Intelligence for Digital Healthcare

This book explores current research and development in the area of digital healthcare using recent technologies such as data science and artificial intelligence. The authors discuss how data science, AI, …

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