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Applied Computational Intelligence, Informatics and Big Data

This book LNICST 616 constitutes the proceedings of the First International Conference on Applied Computational Intelligence, Informatics and Big Data, ACIIBD 2024, held in Guangzhou, China, during July 2…

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Yajing Yan
Inversion and Data Assimilation in Remote Sensing

Remote sensing data are now the primary sources for observing Earth and the Universe. Data inversion and assimilation techniques are the main tools for estimating and predicting the geophysical parameters…

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Data-Centric Business and Applications

The combination of the latest developments in economic theory with contemporary information technologies may be considered as a powerful instrument for the processing of commercial data. This book employs…

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Mark Levene, Martyn Harris
Just Enough Data Science and Machine Learning

An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science.In Just Enough Data Science an…

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Prerna Tambay
HR Analytics: A Complete Guide to the Theory and Practice of Data-Driven HR

Understand the theory and practice of collecting, analysing and reporting people data with this dedicated textbook.

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Y Chen
Financial Data Analytics with Machine Learning, Op timization and Statistics

PRAISE FOR FINANCIAL DATA ANALYTICS"Really interesting, and an impressive masterpiece! Financial Data Analytics contains a rich amount of material, with original research findings in almost every cha…

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Michael Eid, Christian Geiser, Tobias Koch
Structural Equation Modeling of Multiple Rater Data

From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book show…

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Data-Driven Decision Making for Product Service Systems

This book is a compilation of theoretical and practical contributions aimed at facilitating the servitization of manufacturing companies, specifically focusing on data-driven decision-making within the co…

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Claire Keogh
#WakingTheFeminists and the Data-Driven Revolution in Irish Theatre

This Element examines the #WakingTheFeminists movement, a grassroots campaign for gender equality in Irish theatre, sparked by Lian Bell's Facebook post about the gender disparity in Abbey Theatre's 2016 …

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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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Umberto Michelucci
Statistics for Scientists

This book offers researchers and practitioners a concise and accessible guide to the essential concepts in statistics, emphasizing their proper application. It encourages readers to delve deeper into the …

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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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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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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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Machine Learning Methods for Multi-Omics Data Integration

Chapter 1: Introduction to Multiomics Technology, Ahmed Hajyasien.- Chapter 2: Multi-omics Data Integration Applications and Structures, Ammar El-Hassa.- Chapter 3: Machine learning approaches for multi-o…

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Theory, Evidence, Data: Themes from George E. Smith

This book builds on the path-breaking work of George E. Smith and further explores the notions of evidence and confirmation in the exact sciences from two perspectives: conceptual and historical. Contribu…

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Business Intelligence, Computational Mathematics, and Data Analytics

This book constitutes the proceedings of the First International Conference on Business Intelligence, Computational Mathematics, and Data Analytics, IBCD 2024, held in Indore, India, during August 18--19,…

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Big Data in Finance: Transforming the Financial Landscape

This book offers a comprehensive exploration of how Big Data analytics is reshaping the financial world, providing crucial insights for industry professionals, scholars, and enthusiasts alike. This book d…

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Youssva
Democratizing Data: User-Friendly Visualizations for Particle Physics

The original title effectively conveys the goal of making particle physics data more accessible through user-friendly visualizations. Here's a breakdown: ¿ Democratizing Data: This emphasizes the shift to…

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Optimization and Data Science in Industrial Engineering

This two-volume set CCIS 2204 and 2205 constitutes the refereed proceedings of the First International Conference on Optimization and Data Science in Industrial Engineering, ODSIE 2023, held in Istanbul, …

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