Data mining Books

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods. This book expresses the...

This book focuses on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network). It includes contributions that discuss the security and privacy issues as well...

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data...

Data Analytics Applied to the Mining Industry describes the key challenges facing the mining sector as it transforms into a digital industry able to fully exploit process automation, remote operation...

The goal of this book is to present a modeling framework for the Virtual Organization that is focused on process composition. This framework uses Predicate Calculus Knowledge Bases. Petri Net-based...

This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert...

This book discusses the financial impact of Artificial Intelligence (AI) on the finance and business sectors. By providing readers with comprehensive insights, real-world case studies, and expert...

This book offers a detailed insight into various business models that can be easily implemented using cutting-edge AI tools like Copilot, ChatGPT, and others. The focus is not on creating technical...

Industry 4.0, marked by the integration of cyber-physical systems, automation, and smart manufacturing, has greatly enhanced the intricacy and interconnectedness of industrial operations. Industrial...

As data is the most important asset for any organization, it is essential to apply analytics to fulfill the sustainability needs of any organization. This book aims to provide a context for data...

This book provides a timely and comprehensive overview on the cybersecurity challenges in our increasingly connected digital world. With billions of devices projected to be online by 2030, there is...

Artificial intelligence (AI) is no longer just a futuristic concept—it is transforming the way we design, build, and manage electrical machines and intelligent systems today. This groundbreaking...

This book offers a comprehensive discussion of the growing importance of ethical considerations in algorithmic systems to introduce practical frameworks and tools for identifying ethical risks,...

This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data...

This book presents the cutting-edge techniques of social network analytics, focusing on both the positive and negative aspects of social media. While platforms like X, Facebook, and LinkedIn serve as...

Data-Driven Applications for Emerging Technologies explores the practical use of data science in AI, healthcare, sustainability, and security. It covers key topics like predictive modelling, deep...

This second edition of The Digital Humanities Coursebook provides critical frameworks for the application of digital humanities tools and platforms, which have become an integral part of work across...

Data clustering, an interdisciplinary field with diverse applications, has gained increasing popularity since its origins in the 1950s. Over the past six decades, researchers from various fields have...

This book addresses the digital twinning of manufacturing processes, cells, and systems and attempts to bring in the basic characteristics of the Fourth Industrial Revolution along with an emphasis...

This book is a comprehensive guide to exploratory data analysis (EDA), providing readers with the tools, techniques, and knowledge needed to conduct effective and thorough data exploration...

Cybernetic Shield: Securing the Future of Machine Intelligence explores the critical intersection between cybersecurity and the rapid advancements in artificial intelligence. This book addresses the...

This book discusses the multifaceted nature of organizational excellence and proceeds to consider the roles played by data, technological advances leading to innovation and value-based leadership in...

This book explores the transformative potential of Explainable AI (XAI) in enhancing healthcare delivery and XAI's role in fostering transparency, trust, and accountability in AI-driven medical...

This book explores the application of artificial intelligence (AI) in diagnosing skin cancer, emphasizing the importance of early detection to improve treatment outcomes. It reviews various Deep...

This book examines the uses and potential risks of location-based services (LBS) in the context of big data, with a focus on location privacy protection methods.The growth of the mobile Internet and...

In today's rapidly evolving business landscape, effective leadership is increasingly synonymous with adept digital strategy.Digital Leadership: Integrating Technology for Organizational Success...

Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use CasesGenerative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and...

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

There is a growing need for insights and practical experiences in the evolving field of cyber security for business analytics a need addressed by Cyber Security in Business Analytics. Divided into...

This book provides a comprehensive analysis of the tools and techniques used today for designing and modeling of efficient and robust swarm-intelligence based systems: highly (or fully)...

This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI. It aims to provide readers with...

Supply chain operations face many risks, including political, environmental, and economic. The past five years have seen major challenges, from pandemic, impacts of global warming, wars, and tariff...

In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT, and Cloud Computing and women's safety, highlighting the transformative...

Since the publication of the second edition of Richard Plant’s bestselling textbook Spatial Data Analysis in Ecology and Agriculture Using R, the methodology of spatial data analysis and the suite of...

Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering. It is a methodology...

Advanced AI and Data Science Applications explores how the latest developments in artificial intelligence (AI) and data science are transforming diverse domains. The book blends theory and practice...

Operational research (OR) methods are used in many fields of sciences like computer engineering, industrial engineering, social works, business management, medical studies and finance. This book, is...

The objective of the book is to use advanced deep learning techniques to unlock the complexities of genomic data. It reveals hidden and unknown patterns, to improve our understanding the role of...

Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements...

The book explores the Internet of Things (IoT) landscape, focusing on sensor technologies and wireless sensor communications. It discusses challenges in establishing interconnected sensors, network...

Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering. It is a methodology...

The book examines the integration of IoT, Blockchain, and Smart Healthcare, providing a comprehensive analysis of these advanced technologies and their impact on the healthcare industry. It offers...

This book presents real-life applications of data science, artificial intelligence, and big data for the Sustainable Development Goals. It includes a list of case studies from different states across...

In the past decade, artificial intelligence (AI) has made significant advancements in various sectors of society, such as education, health, e-commerce, media and entertainment, banking and finance,...

Artificial intelligence and technological advancements are continuously transforming the discipline of law in contemporary times. This book offers practical insights to the reader as to how...

Digital Sustainability: Navigating Entrepreneurship in the Information Age explores the intersection of technology and sustainability, offering a panoramic view of innovative strategies and solutions...

Social Network Analysis and Text Mining for Big Data presents cutting-edge methods and tools that bridge the gap between text mining and social network analysis research while also providing new...

This book investigates how digital technologies, intelligent systems, and data analytics are reshaping environmental accountability and green practices. It delves into strategies for integrating...