Data mining

Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design.

This volume documents the contributions presented at The ICRTMPCS II International Conference on Advances in Mathematical and Computational Sciences.

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 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.

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms.

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms.

In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount.

Introduction: Elevate Your Analytics with PythonIn today's data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector.

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems.

Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.

This book studies data, analytics, and intelligence using Boolean structure.

This volume documents the contributions presented at The ICRTMPCS II International Conference on Advances in Mathematical and Computational Sciences.

By enabling the conversion of traditional manufacturing systems into contemporary digitalized ones, Internet of Things (IoT) adoption in manufacturing creates huge economic prospects through reshaping industries.

The automated identification of biological objects or groups has been a dream among taxonomists and systematists for centuries.

The Asia-Pacific region, home to some of the world's fastest-growing economies, faces a range of complex challenges, including environmental degradation, the increasing frequency of natural hazards, and rapid urbanization.

Industry 4.

This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector.

This book details how to assess electric mobility characteristics within electric vehicles, discussing energy management methods, automated systems, and the enormous potential of data resources mined from software, navigation systems, and connectivity.

From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields.

Clustering remains a vibrant area of research in statistics.

Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry.

Recently, the fields of Artificial Intelligence (AI) and the Internet of Things (IoT) have revolutionized numerous industries, including healthcare.

Maintaining the advanced technical focus found in Developing Essbase Applications, this second volume is another collaborative effort by some of the best Essbase practitioners from around the world.

This book discusses various partitioning strategies tailored for traditional machine learning algorithms.

Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data.

No detailed description available for "e;Data Analytics for Marketing"e;.

Developments in multimedia database management have exploded during the past decade.

This primer provides an accessible introduction to MATLAB version 8 and its extensive functionality for statistics.

What if I told you something that could empower our third sector and activists to enhance their capacity?

Most businesses today are embracing digital transformation and automation, deploying the processes of data analytics in combination with advanced technologies for customer retention using such techniques as marketing automation, digital marketing, machine learning (ML), blockchain, generative AI, and robotics.

This reference presents both fundamental and advanced topics and related to Web operations.

This book presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains.

Ambient assisted living (AAL) utilizes information and communication technology to empower individuals to maintain an active and independent lifestyle for as long as possible.

Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.

Geared to intermediate- to advanced-level DBAs and IT professionals looking to enhance their MySQL skills, this guide provides a comprehensive overview on how to manage and optimize MySQL databases.

This book is an introduction to fundamental techniques of image analysis with machine vision and their applicability in Industry 5.

This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML).

This book describes the types and properties of computer controlled industrial and laboratory measuring systems for data acquisition and the processing signals of typical physical sensors.

Explaining how to improve our knowledge-based society, this book addresses problems in collecting, synthesizing, coordinating, and creating knowledge.

This book offers an in-depth look at Industry 4.

This book presents cutting-edge findings that draw on the use of AI, the Industrial Internet of Things, Blockchain, and Co-Analytics for the development of Circular Economy (CE) models to make organizational activities more sustainable.

This handbook provides a thorough overview of the current state of knowledge in this area.

With a focus on computing system management, this book presents a variety of event mining approaches for improving the quality and efficiency of IT service and system management.