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.
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.
The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis.
A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering.
Thoroughly covering basic introductions and intuitions, technical details, and formal foundations, this text focuses on the established foundations in this area that have become relatively stable over time.
Providing key information on how to work with research data, Introduction to Data Technologies presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education.
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 consists of twelve chapters covering the design aspects, their feasibility, mathematical modeling by numerical, experimental, computational and simulation approaches.
This book consists of twelve chapters covering the design aspects, their feasibility, mathematical modeling by numerical, experimental, computational and simulation approaches.
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vecto
Over the past decade, machine learning has come a long way, with organisations of all sizes exploring its potential to extract valuable insights from data.
This book is based on the best papers accepted for presentation during the International Conference on Current Problems of Applied Mathematics and Computer Systems (APAMCS-2023).
This book is based on the best papers accepted for presentation during the International Conference on Current Problems of Applied Mathematics and Computer Systems (APAMCS-2023).
This book is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), organized by Sir Padampat Singhania University, India, and is technically sponsored by Soft Computing Research Society during February 22-23, 2024.
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 is a collection of outstanding research papers presented at the World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2024), organized by Sir Padampat Singhania University, India, and is technically sponsored by Soft Computing Research Society during February 22-23, 2024.
Wir leben in einer Zeit, in der Daten immer mehr Relevanz besitzen, und zwar sowohl für die Geschäftsmodelle von Unternehmen im Gesamten als auch für einzelne Funktionsbereiche.
Wir leben in einer Zeit, in der Daten immer mehr Relevanz besitzen, und zwar sowohl für die Geschäftsmodelle von Unternehmen im Gesamten als auch für einzelne Funktionsbereiche.
This volume, the second of a two volume set, offers a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private.
This book provides a timely introduction to the methodology of Intelligent Bridge Maintenance and Management (IBM&M) and a comprehensive synthesis of emerging digital technologies for realizing IBM&M.
