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.
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).
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 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.
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.
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.
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.
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.
Die vorliegenden Untersuchungen schließen nicht nur eine bestehende Lücke in der akademischen Diskussion zu Big Data Analytics im deutschen Bankwesen, sondern tragen auch zu praktischem Wissen aus verschiedenen Blickwinkeln bei.
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.