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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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Maria Isabel Bueno Cachadina, Javier Perez Alvaro
Matrix Methods in Data Analysis

Modern Aspects of Electrochemistry - Band 80

This textbook offers a fresh and balanced approach to the study of Linear Algebra in the context of modern Data Science. Whereas many existing texts either emphasize theory with little connection to pract…

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Jan-Willem van Wingerden, Nassir Cassamo
Data-driven Modelling of Wind Farm Flow Control Strategies

This book presents data-driven algorithms used in the context of wind farm modelling and exploits their relation with concepts from non-linear dynamical system theory. The algortihms include Input Output …

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Martin Unterberg
Data-driven Indirect Tool Condition Monitoring in Sheet-metal Stamping

This dissertation introduces a framework for indirect tool condition monitoring in sheet-metal stamping using acoustic emission signals. Analysis of 398,047 fineblanking strokes from industrial and labora…

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Quantitative Methods and Data Analysis in Applied Demography - Volume 2

This second volume of two complements volume 1 by discussing models, risk and surveys in applied demography. Models and modeling cover a wide range of data analysis methods and techniques to cope with dem…

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Quantitative Methods and Data Analysis in Applied Demography - Volume 1

This first volume of two provides quantitative techniques to estimate the healthy life years lost by expanding the classical life tables to include the proportion with disability calculated from life tabl…

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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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Quantitative Approaches to Microcirculation

Microcirculation is a key area of interest within the realms of biology and medicine. As a vital discipline, microcirculatory biology forms a significant part of established medical fields like cardiovasc…

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Cristina Cantagallo, Valentino Sangiorgio, Humberto Varum, Francesco Fiorito
Digitization of Built Heritage

This book presents a comprehensive framework for applying digital technologies to heritage conservation. It begins by developing a knowledge path of cultural heritage buildings through methods such as 3D …

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Ond& Bábek
Quantitative Methods in Stratigraphy

Quantitative Methods in Stratigraphy: A Multi-Proxy Palaeoenvironmental Analysis of Outcrop and Core Data explores the current advances in technology, offering a wide range of quantitative geophysical, ge…

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Emily Wall
Human Bias in Visual Data Analysis

Synthesis Lectures on Visualization

This open access book demonstrates how human biases affect the process of visual data analysis, a subject which has typically been left to researchers in cognitive and perceptual psychology and the social…

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Advances in Intelligent Data Analysis XXIII

This volume constitutes the proceedings of the 23rd International Symposium on Intelligent Data Analysis, IDA 2025, which was held in Konstanz, Germany, during May 7--9, 2025.The 35 full papers included i…

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Steffen Hoffmann
Exploratives Benchmarking

Methoden des Benchmarkings sind integraler Bestandteil der wirtschaftswissenschaftlichen Forschung und Praxis. Elementare Aufgabe eines Benchmarkings ist es, durch den Vergleich mit den Besten Leistungslü…

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Advances in the Theory and Practice of Data Envelopment Analysis

This book presents selected proceedings from the International Conference on Data Envelopment Analysis (DEA 2024), held from November 18--21, 2024, at the Birla Institute of Management Technology (BIMTECH…

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Mona Khalil
Effective Data Analysis

From the back cover:Effective Data Analysis teaches you to deliver productive data science in business and research. It assumes you've mastered the basics and supports you with best practices normally lea…

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Sébastien Roch
Mathematical Methods in Data Science

Bridge the gap between theoretical concepts and their practical applications with this rigorous introduction to the mathematics underpinning data science. It covers essential topics in linear algebra, cal…

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Sébastien Roch
Mathematical Methods in Data Science

A hands-on textbook for advanced undergraduates and beginning graduate students in data science, offering an accessible introduction to the essential mathematics behind modern data analysis. With practica…

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Immanuel Trummer
Data Analysis with Llms

Speed up common data science tasks with AI assistants like ChatGPT and Large Language Models (LLMs) from Anthropic, Cohere, Open AI, Google, Hugging Face, and more!Data Analysis with LLMs teaches you to u…

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Geoinformatics and Data Analysis

This book gathers peer reviewed and high-quality papers presented at 2025 8th International Conference on Geoinformatics and Data Analysis, held from April 4 to 6, 2025 in Nice, France. The topics discuss…

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Data and Methods in Corpus Linguistics

"Corpus linguistics continues to be a vibrant methodology applied across highly diverse fields of research in the language sciences. With the current steep rise in corpus sizes, computational power, …

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