Data-driven Methods – alle Bücher und LPs

Model Order Reduction, Volume 1, System- and Data-Driven Methods and Algorithms

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. Th…

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National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, National Materials and Manufacturing Board, Board on Mathematical Sciences and Analytics
Statistical and Data-Driven Methods for Additive Manufacturing Qualification

Additive manufacturing (AM), the process in which a three-dimensional (3D) object is built by adding subsequent layers of materials, enables novel material compositions and shapes, often without the need …

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Sebastien 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…

lieferbar ab 31.10.2025.

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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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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 pr…

lieferbar ab 30.9.2025.

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Ramesh S. V. Teegavarapu
Imputation Methods for Missing Hydrometeorological Data Estimation

Missing data is a ubiquitous problem that plagues many hydrometeorological datasets. Objective and robust spatial and temporal imputation methods are needed to estimate missing data and create error-free,…

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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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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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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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Sustainable Statistical and Data Science Methods and Practices

This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2-6, 2022. They focus on sustainable methods and practices of using statistics and data science to addr…

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Advanced Methods in Statistics, Data Science and Related Applications

This book contains a selection of the improved contributions submitted by participants at the conference of the Italian Statistical Society - SIS 2022 held in Caserta 22-24 June 2022. The scientific commu…

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Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry us…

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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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Joachim Hunker
Method for Combining Data Farming and Data Mining in a Logistics Assistance System for Materials Trading Networks Based on Graph Databases

To maintain the competitiveness of a materials trading network, decision-makers are confronted with a multitude of logistics tasks. Finding answers to these tasks often involves a decision-making process,…

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Sven-Erik Willrich
Data-Driven Company

Daten werden für Unternehmen immer wichtiger. Gleichzeitig mangelt es an Best Practices und Leitfäden, wie klassische mit modernen Ansätzen wie Data Mesh oder Data Fabric zu einem anwendbaren Framework in…

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Peter Gluchowski, Melanie Pfoh, Anja Tetzner
Datenmodellierung in Data-Warehouse-Systemen

Einleitung.- Aufbau und Komponenten klassischer DW-Architekturen.- Anforderungsanalyse.- Klassische relationale Datenmodelle.- Multidimensionale Datenmodelle.- Data Vault.- Konzepte und Techniken der Hist…

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Jessica Hastenteufel, Luca Weigerding
Data-Driven Decision Making im operativen und strategischen Investitionscontrolling

Dieses Essentialbietet eine praxisnahe Einführung in datengetriebene Entscheidungsprozesse und deren Anwendung im Investitionscontrolling. Es erklärt theoretische Grundlagen und zeigt, wie Big Data und mo…

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Alfred Galichon
Discrete Choice Models

A foundational treatment of discrete choice models, with a focus on random utility modelsDiscrete choice models are essential tools for understanding decision-making when individuals must choose among alt…

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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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