Data mining

Present energy systems are undergoing a radical transformation, driven by the urgent need to address the climate change crisis.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing.

This book is intended as an introduction to a versatile model for temporal data.

This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing.

In today's fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success.

This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform.

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins.

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling.

This book focuses on deep learning (DL), which is an important aspect of data science, that includes predictive modeling.

Data Analytics using Machine Learning Techniques on Cloud Platforms examines how machine learning (ML) and cloud computing combine to drive data-driven decision-making across industries.

This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology.

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage.

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage.

This book systemically presents key concepts of multi-modal hashing technology, recent advances on large-scale efficient multimedia search and recommendation, and recent achievements in multimedia indexing technology.

This book explores opportunities and challenges in the field of Internet of Everything (IoE) security and privacy under the umbrella of distributed ledger technologies and blockchain technology including distributed consensus mechanisms, crypto-sensors, encryption algorithms, and fault tolerance mechanisms for devices and systems.

This book explores opportunities and challenges in the field of Internet of Everything (IoE) security and privacy under the umbrella of distributed ledger technologies and blockchain technology including distributed consensus mechanisms, crypto-sensors, encryption algorithms, and fault tolerance mechanisms for devices and systems.

Learn the key skills and capabilities that empower Citizens of Data Science to not only survive but thrive in an AI-dominated world.

Analyze large datasets directly from R.

Computational Intelligence in Urban Infrastructure consolidates experiences and research results in computational intelligence and its applications in urban infrastructure.

Computational Intelligence in Urban Infrastructure consolidates experiences and research results in computational intelligence and its applications in urban infrastructure.

This book discusses smart technologies and their influence in the field of manufacturing and industrial systems engineering, in the context of performability enhancement, and explores the development of the workforce for the execution of such smart and advanced technologies.

This book discusses smart technologies and their influence in the field of manufacturing and industrial systems engineering, in the context of performability enhancement, and explores the development of the workforce for the execution of such smart and advanced technologies.

Businesses have faced a variety of difficulties as a result of the global pandemic, and how they responded to this disruption has affected both their resilience and their ability to get through this crisis.

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

This Short Cut is written to assist you, an Oracle Clinical Developer, with many of the tasks and decisions you may encounter on an occasional basis.

Volumes have been written on the need for high-quality data to support organizational decision-making.

Building on the knowledge of risks, vulnerabilities, and safety measures associated with cyber-physical systems, this book focuses on adapting artificial intelligence (AI) techniques to smart cyber-physical systems application development.

Volumes have been written on the need for high-quality data to support organizational decision-making.

There is a need to categorize artificial intelligence (AI) applications, tools, techniques, and algorithms based on their intended use in various design stages.

Data has been called the 'new oil' of the 21st-century economy, yet knowledge of how to harness and comprehend data is lagging.

Data has been called the 'new oil' of the 21st-century economy, yet knowledge of how to harness and comprehend data is lagging.

Trained to extract actionable information from large volumes of high-dimensional data, engineers and scientists often have trouble isolating meaningful low-dimensional structures hidden in their high-dimensional observations.

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms.

Covering research at the frontier of this field, Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data.

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

Clustering remains a vibrant area of research in statistics.

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.

Most of the high-profile cases of real or perceived unethical activity in data science aren?

Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks.

This book constitutes the refereed proceedings of the 14th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2022, held Ho Chi Minh City, Vietnam in November 2022.

This book constitutes the proceedings of the 19th International Conference on Web Information Systems and Applications, WISA 2022, held in Dalian, China, in September 2022.

Identifying and stopping the dissemination of fabricated news, hate speech, or deceptive information camouflaged as legitimate news poses a significant technological hurdle.

This book is a collection of selected research papers presented at the 2024 5th International Conference on Artificial Intelligence in Education Technology (AIET 2024), held in Barcelona, Spain, on July 29 - 31, 2024.

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.

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems.

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems.

Good data is a source of myriad opportunities, while bad data is a tremendous burden.

This is an important and timely book.