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Big Data Analytics And Data Mining – alle Bücher, Seite 4

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Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing

This book deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of a…

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Sara Mannheimer
Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research

This book explores the connections between qualitative data reuse, big social research, and data curation. A review of existing literature identifies the key issues of context, data quality and trustworth…

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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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Big Data and Artificial Intelligence for Decision-Making in the Smart Economy

This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart econom…

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Integrating Big Data and IoT for Enhanced Decision-Making Systems in Business

This book presents recent research on integrating big data and IoT for enhanced decision-making systems in business. Unlock the future of smart decision-making! This volume dives technology innovation, an…

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Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

This book constitutes the refereed post-conference proceedings from the 18th EAI International Conference on Body Area Networks, BODYNETS 2024-A, held in Milan, Italy, in February 5-6, 2024.The 20 full pa…

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Alvaro Rocha, Fadele Ayotunde Alaba
The Implication of Cyberattacks on Big Data and How to Mitigate the Risk

This comprehensive book explores the challenges posed by cyberattacks on big data systems and their corresponding mitigation strategies. The book is organized into logical chapters, each focusing on speci…

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The 6th Joint International Conference on AI, Big Data and Blockchain (AIBB 2025)

This book brings together peer-reviewed research contributions exploring cutting-edge developments in AI, big data, and blockchain---fields that are transforming industries today. Written by leading exper…

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Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics

This book is a comprehensive exploration into the intersection of cutting-edge technologies and the critical domain of cybersecurity; this book delves deep into the evolving landscape of cyber threats and…

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The 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024)

This book is the 5th Joint International Conference on AI, Big Data and Blockchain (ABB 2024), 19¿21 Aug 2024, Vienna, Austria. This book constitutes refereed articles which present research work on timel…

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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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Rimsha
The Power of Patterns: Unlocking the Potential of Big Data in Chemistry and Biology

"The Power of Patterns" dives into the exciting world of big data in chemistry and biology. In this age of information explosion, vast amounts of biological and chemical data are waiting to be u…

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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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David Asboth
The Well-Grounded Data Analyst

From the back cover:The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's results-oriented approach as you model …

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Wei-Meng Lee
DuckDB: Up and Running

>Author Wei-Meng Lee takes developers and data professionals through DuckDB's primary features and functions, best practices, and practical examples of how you can use DuckDB for a variety of data anal…

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Nasir Salari
Advanced Marketing Analytics

This textbook takes students on a comprehensive learning journey on more advanced concepts and techniques in marketing analytics, offering support to those with little to no coding experience.Advanced Mar…

lieferbar ab 31.3.2026.

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Erik Cuevas, Jorge Galvez, Omar Avalos, Fernando Wario
Machine Learning and Metaheuristic Computation

Learn to bridge the gap between machine learning and metaheuristic methods to solve problems in optimization approachesFew areas of technology have greater potential to revolutionize the globe than artifi…

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Marco Cremonini
Data Visualization in R and Python

Communicate the data that is powering our changing world with this essential textThe advent of machine learning and neural networks in recent years, along with other technologies under the broader umbrell…

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Mike Chapple, Sharif Nijim
Comptia Data+ Study Guide

Prepare for the CompTIA Data+ exam, as well as a new career in data science, with this effective study guideIn the newly revised second edition of CompTIA Data+ Study Guide: Exam DA0-002, veteran IT profe…

lieferbar ab 4.11.2025.

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Nicola Askham
Effective Data Governance

Data is critical to ensuring the success of any business. A strong data governance programme can help any organization ensure that its data is high-quality, secure and accessible.Effective Data Governance…

lieferbar ab 24.2.2026.

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