Chiheb-Eddine Ben N'Cir - Böcker
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8 produkter
8 produkter
Clustering Methods for Big Data Analytics
Techniques, Toolboxes and Applications
Häftad, Engelska, 2019
1 578 kr
Skickas inom 10-15 vardagar
This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems.
Machine Learning and Data Analytics for Solving Business Problems
Methods, Applications, and Case Studies
Inbunden, Engelska, 2022
1 682 kr
Skickas inom 10-15 vardagar
This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes.
Machine Learning and Data Analytics for Solving Business Problems : Methods, Applications, and Case Studies
Engelska, 2022
634 kr
Skickas inom 5-8 vardagar
Machine Learning and Data Analytics for Solving Business Problems
Methods, Applications, and Case Studies
Häftad, Engelska, 2023
1 682 kr
Skickas inom 10-15 vardagar
This book presents advances in business computing and data analytics by discussing recent and innovative machine learning methods that have been designed to support decision-making processes. These methods form the theoretical foundations of intelligent management systems, which allows for companies to understand the market environment, to improve the analysis of customer needs, to propose creative personalization of contents, and to design more effective business strategies, products, and services. This book gives an overview of recent methods – such as blockchain, big data, artificial intelligence, and cloud computing – so readers can rapidly explore them and their applications to solve common business challenges. The book aims to empower readers to leverage and develop creative supervised and unsupervised methods to solve business decision-making problems.
1 381 kr
Skickas inom 10-15 vardagar
This book provides advances in computational logistics and supply chain analytics. The authors include innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain management process. This book highlights the state of the art and challenges related to the design and the application of computational methods to solve logistic and supply chain management problems. The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes. Readers can rapidly explore these new methods and their applications to solve such complex problems.
1 381 kr
Skickas inom 10-15 vardagar
The authors present recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. This book broadly covers recent computational methods and techniques applied to ensure continuous improvement of transport, logistic, and supply chain management processes.
Innovations in Computational Logistics and Supply Chain Analytics
Theories, Methods, and Applications
Inbunden, Engelska, 2026
2 011 kr
Skickas inom 11-20 vardagar
Clustering Methods for Big Data Analytics
Techniques, Toolboxes and Applications
Inbunden, Engelska, 2018
1 625 kr
Skickas inom 10-15 vardagar
This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat detection, scalable distributed clustering methods for massive volumes of data; clustering Big Data Streams such as streams generated by the confluence of Internet of Things, digital and mobile health, human-robot interaction, and social networks; Spark-based Big Data clustering using Particle Swarm Optimization; and Tensor-based clustering for Web graphs, sensor streams, and social networks. The chapters in the book include a balanced coverage of big data clustering theory, methods, tools, frameworks, applications, representation, visualization, and clustering validation.