Data-Mining – Bücher, CDs, LPs und mehr, Seite 8

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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Gary Archer, Judith Kahrer, Michal Trojanowski
Cloud Native Data Security with OAuth

With the growth of cloud native applications, developers increasingly rely on APIs to make everything work. But security often lags behind, making APIs an attractive target for bad actors looking to acces…

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Data Augmentation, Labelling, and Imperfections

This LNCS conference volume constitutes the proceedings of the 3rd International Workshop onData Augmentation, Labeling, and Imperfections (DALI 2023), held on October 12, 2023, in Vancouver, Canada, in c…

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Computational Intelligence in Data Science

This book constitutes the proceedings of the 6th IFIP TC 12 International Conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023. Th…

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Philip Laue, Judith Nink, Sascha Kremer
European Data Protection Law in Practice

The Book This guide explains European data protection law for practitioners, giving the users the necessary guidance to remain up-to-date and assess the consequences. The book features multiple examples a…

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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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Katherine Munro, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Data Science, Big Data und künstliche Intelligenz gehören derzeit zu den Konzepten, über die in Industrie, Regierung und Gesellschaft am meisten diskutiert wird, die aber auch am meisten missverstanden we…

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Andrew J. Kurdila, John A. Burns, Andrea L'Afflitto
Data-Driven, Nonparametric, Adaptive Control Theory

Data-Driven, Nonparametric, Adaptive Control Theory introduces a novel approach to the control of deterministic, nonlinear ordinary differential equations affected by uncertainties. The methods proposed e…

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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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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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Éric Brian
Are Statistics Only Made of Data?

This book examines several epistemological regimes in studies of numerical data over the last four centuries. It distinguishes these regimes and mobilises questions present in the philosophy of science, s…

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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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Information Management and Big Data

This book constitutes the proceedings of the 11th Annual International Conference on Information Management and Big Data, SIMBig 2024, held in Ilo, Peru, during November 20--22, 2024.The 27 full papers an…

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Computational Intelligence in Data Science

These two-volume set IFIP AICT 717 and 718 constitutes the refereed post-conference proceedings of the 7th International Conference on Computational Intelligence in Data Science, ICCIDS 2024, held in Chen…

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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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Thomas W. Macfarland
Introduction to Data Science in Biostatistics

Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses the many professional skills and competencies…

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Data Science in Engineering Vol. 10

Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the tenth volume of ten from the Conference brings together contributions to…

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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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Computational Intelligence in Data Science

These two-volume set IFIP AICT 717 and 718 constitutes the refereed post-conference proceedings of the 7th International Conference on Computational Intelligence in Data Science, ICCIDS 2024, held in Chen…

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Trends and Challenges in Categorical Data Analysis

This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate categorical data. It gives an overview of a substantive and broad…

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