Databases

This book presents an edited collection of chapters from academic and industry expert contributors focusing on the directions of blockchain cryptocurrency from leading authorities in their field providing the cutting-edge and timely insights in the world of cryptocurrency behaviour.

This book explores methods for leveraging data to create innovative solutions that offer significant and meaningful value.

Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels.

On November 22, 23, and 24, 2023, the International Conference of Applied Engineering and Innovative Technologies (AENIT-2023) was held at the "e;El Olivo"e; Campus of the Universidad Tecnica del Norte-UTN (Ibarra-Ecuador).

This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection.

On November 22, 23, and 24, 2023, the International Conference of Applied Engineering and Innovative Technologies (AENIT-2023) was held at the "e;El Olivo"e; Campus of the Universidad Tecnica del Norte-UTN (Ibarra-Ecuador).

This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks.

This updated book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection.

This book presents recent research in intelligent and fuzzy techniques on Intelligent Industrial Informatics and Efficient Networks.

This book discusses a multidisciplinary and multi-stakeholder collaborative approach to small population clinical trials.

This book discusses a multidisciplinary and multi-stakeholder collaborative approach to small population clinical trials.

This book is a comprehensive and cutting-edge exploration of the complexities surrounding the protection and resilience of cyber-physical systems.

This book addresses data quality management for data markets, including foundational quality issues in modern data science.

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 within the LISA 2020 Global Network.

A comprehensive guide for IoT engineers, this book integrates data science, machine learning, and systems analytics to provide a robust understanding of modern techniques.

This book introduces an auto design based optimization for building frames using an artificial neural network (ANN) based Lagrange method and novel genetic algorithm (GA).

Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry.

This book is the first comprehensive guide to the intersection of data governance and machine learning (ML) projects.

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines multimedia data mining, its theory, and its applications.

Master Python data structures with practical examples and exercises.

The book explores the critical challenge of securing sensitive medical data in the face of rising cyber threats.

DuckDB, an open source in-process database created for OLAP workloads, provides key advantages over more mainstream OLAP solutions: It's embeddable and optimized for analytics.

The book explores the critical challenge of securing sensitive medical data in the face of rising cyber threats.

This book presents the fascinating intersection of human cognition and artificial intelligence.

This book presents the fascinating intersection of human cognition and artificial intelligence.

Your MySQL instances are probably broken.

Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people.

Databases for Data-Centric Geotechnics forms a definitive reference and guide to databases in geotechnical and rock engineering, to enhance decision-making in geotechnical practice using data-driven methods.

This book is a comprehensive introduction to the methods and algorithms of modern data analytics.

This book is a comprehensive introduction to the methods and algorithms of modern data analytics.

This book provides a comprehensive exploration of Industry 6.

Organizations increasingly need to deal with unstructured processes that traditional business process management (BPM) suites are not designed to deal with.

Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, risk and marketing analytics, and other areas.

As data continues to grow and become more complex, organizations seek innovative solutions to manage their data effectively.

Ready to simplify the process of building data lakehouses and data pipelines at scale?

Counterterrorism and cybersecurity are the top two priorities at the Federal Bureau of Investigation (FBI).

A ready reference for the next-generation discovery techniques, this book presents advanced research findings on resource discovery, network navigability, and trust management on the Internet of Things (IoT) and Social Internet of Things (SIoT) ecosystems.