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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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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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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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Mike Nguyen
Advanced Modeling and Data Challenges

Missing data. - Variable transformation. - Variable selection. - Hypothesis testing.- Marginal effects. - Mediation.

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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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Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15--…

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Smart Materials Engineering

This book bridges the gap between conventional materials science and emerging data-driven methodologies, highlighting the integration of AI, machine learning, and deep learning technologies to enhance the…

lieferbar ab 1.1.2026.

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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

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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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Bartosz Konieczny
Data Engineering Design Patterns

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows y…

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Narasimha Sadineni, Anuyogam Venkataraman
Dataproc Cookbook

Want to build big data solutions in Google Cloud? Dataproc Cookbook is your hands-on guide to mastering Dataproc and the essential GCP fundamentals--like networking, security, monitoring, and cost optimiz…

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Luanne Misquitta, Christophe Willemsen
Neo4j: The Definitive Guide

Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to pow…

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Jack A Hyman
Microsoft Power Bi for Dummies

Make smarter business decisions with Microsoft PowerBIMicrosoft PowerBI For Dummies gives you the foundation you need to use this powerful software platform to manage your data and gather insight for maki…

lieferbar ab 23.12.2025.

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Chad Sanderson, Mark Freeman, B E Schmidt
Data Contracts

Poor data quality can cause major problems for data teams, from breaking revenue-generating data pipelines to losing the trust of data consumers. Despite the importance of data quality, many data teams st…

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Pawel Tokaj, Jia Yu, Mo Sarwat
Cloud Native Geospatial Analytics with Apache Sedona

Navigating the complexities of large-scale spatial data can be daunting. In order to unleash the power of massive and complex datasets, you'll need a cutting-edge tool like Apache Sedona. This innovative …

lieferbar ab 20.1.2026.

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Navnit Shukla, Kien Pham, Srikanth Sopirala, Harsha Tadiparthi
Ai-Ready Data Blueprints

Companies innovating with generative AI understand that having the right data foundation is critical for success and profitability. To best position themselves for long-term success, organizations must pr…

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Julia Hofele
Multi-Physics Modelling towards the Stabilization of PAN Fibers with Microwaves Based on Experimental Data

High energy demand is one reason for high costs of carbon fibers. One option to decrease them is to use microwave heating instead of conventional heating. In this work, steps towards a microwave assisted …

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Making Data

This is the first work to explore the theory, history and processes of physical representations of data

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Stefan Bracke
Reliability Engineering

This textbook teaches methods of data analytics for technical reliability analyses and risk prognosis on the basis of probabilistics, statistics and modelling. The methods of Reliability Engineering are a…

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Ben Greenberg
Vector Search with JavaScript

Cut through the complexity and apply AI-driven vector search strategies to deliver smarter, more intuitive search experiences that keep users engaged.Make search results smarter and more useful for everyd…

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