Databases Books

About the Book This book is a practical guide for business users who rely on Microsoft Power Query to clean and transform messy data. It explains how to go beyond the user interface by focusing on the M language behind Power Query. This is not a...

This book investigates blockchain and digital twin technologies to offer insights into their potential applications in the healthcare industry to build a strong and sustainable healthcare ecosystem. The book is aimed at professionals, scholars,...

 Unlock the world of data science—no coding required.Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential...

The book introduces interactive elements, including chapter exercises in the accompanying R package, facilitating readers internalising this new programming language and statistical techniques. This interactive approach, particularly beneficial for...

This book advances the artificial intelligence techniques by strongly inspired from quantum computing. Quantum computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long...

This book compiles a comprehensive collection of pioneering research that addresses the multifaceted challenges and theoretical aspects of Generative AI in creative industries. Generative AI, a groundbreaking technological development, has been carving a...

Streamline your entire civil design workflow-from data management to sheet automation-using Civil 3D 2024Key Features:- Leverage Civil 3D and partner tools for seamless project integration- Maximize productivity with scalable team workflows and...

This book constitutes the refereed proceedings of five workshops that were held in conjunction with the 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, held in Sydney, New South Wales, Australia, during June 10–13,...

Esri Advanced Guide to Python in ArcGIS uses concise chapters and straightforward tutorials so experienced GIS professionals can learn and immediately apply complex Python skills and techniques. 

This book examines under what circumstances, and with which techniques, one can reasonably infer cause and effect in a business setting, and use the insight to drive business decisions. It is written at a level accessible to anyone with a master's degree...

Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on...

This book is for executives and practitioners tasked with the movement of data from old systems to a new repository. It uses a series of steps guaranteed to get the reader from an empty new system to one that is working and backed by the user population...

With this book, aspiring data analysts will discover what data analysts do all day, what skills they will need for the role, and what regulations they will be required to adhere to. Practising data analysts can explore useful data analysis tools, methods...

This is an essential guide to entity relationship and class modelling for business analysts in line with, and beyond, the BCS Data Analysis syllabus.

Intended for those who need a practical guide to proven and up-to-date data mining techniques and processes, this book covers specific problem genres. With chapters that focus on application specifics, it allows readers to go to material relevant to...

Design thinking in software engineering reshapes how complex digital solutions are developed and delivered. With user-centered design principles, design thinking fosters a more creative and collaborative environment for software development. This...

Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation,...

Qualitative research has many constraints and challenges that must be overcome to achieve credible and valid results about reality and epistemology. Thus, the integration of technology into qualitative research has been especially transformative. The...

This book aims to capture the interest of researchers and professionals in information technology, computer science, and mathematics. It covers fundamental and advanced concepts related to intelligent computing paradigms, data sciences, graph theory, and...

The second edition of Neuromorphic Computing Principles and Organization delves deeply into neuromorphic computing, focusing on designing fault-tolerant, scalable hardware for spiking neural networks. Each chapter includes exercises to enhance...

This book provides a guide to working efficiently with larger-than-memory datasets using the arrow R package. You'll learn how to overcome these hurdles without needing to set up complex infrastructure. Written by developers of the Arrow R package, this...

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise...

Resampling methods-techniques for repeatedly resampling data to obtain results-are being used in virtually every research area. This practical guide discusses the applications of these methods in a wide variety of subject areas. Each chapter contains a...

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in...

How could the potential of IT be realised to improve business performance in architecture, construction and engineering organisations? How could organisations unleash the potential of IT to achieve a sustainable competitive advantage? How can...

Learning with uncertainty covers a broad range of scenarios in machine learning, this book mainly focuses on: (1) Decision tree learning with uncertainty, (2) Clustering under uncertainty environment, (3) Active learning based on uncertainty criterion,...

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This book provides an exploration through the world of Bioinformatics Database Systems.The book summarizes the popular and...

Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel Web service querying techniques. This includes a detailedframework for the query infrastructure for Web databases and services. Case...

Introduction.- Preliminaries.- Repairing and Querying: the Fundamental Decision Problems.- Computing Card-minimal Repairs.- Consistent Answers to Aggregate Queries.- Possible Extensions and Open Problems.- References.

Given the explosion of interest in mathematical methods for solving problems in finance and trading, a great deal of research and development is taking place in universities, large brokerage firms, and in the supporting trading...

The five approaches outlined in this book offers the systems thinking practitioner a range of interchangeable tools for pro-actively making systemic improvements amidst complex situations of change and uncertainty.  Practitioners from all...

This book presents a biographical history of the field of systems thinking, by examining the life and work of thirty of its major thinkers. It discusses each thinker's key contributions, the way this contribution was expressed in practice and the...

This book reviews the algorithms for processing geometric data, with a practical focus on important techniques not covered by traditional courses on computer vision and computer graphics. Features: presents an overview of the underlying mathematical...

Implicit objects have gained increasing importance in geometric modeling, visualisation, animation, and computer graphics, because their geometric properties provide a good alternative to traditional parametric objects. This book presents the...

This book presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Topics and features: introduces a range of fundamental graph algorithms, covering...

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering...

In cryptography, ciphers is the technical term for encryption and decryption algorithms. They are an important sub-family that features high speed and easy implementation and are an essential part of wireless internet and mobile phones. Unlike block...

Polyhedral and Algebraic Methods in Computational Geometry provides a thorough introduction into algorithmic geometry and its applications. It presents its primary topics from the viewpoints of discrete, convex and elementary...

Probabilistic Group Theory, Combinatorics and Computing is based on lecture courses held at the Fifth de Brún Workshop in Galway, Ireland in April 2011. Each course discusses computational and algorithmic aspects that have recently emerged at the...

This clearly written and enlightening textbook provides a concise, introductory guide to the key mathematical concepts and techniques used by computer scientists. Topics and features: ideal for self-study, offering many pedagogical features such as...

Acknowledgements.- Introduction.- Domestic Photography and Technological Paths.- The Portrait Path (ca. 1830s-1890s).- The Kodak Path (ca.1888-1990s).- The Digital Path (ca.1990).- Digital Photo Adoption.- The Future of Domestic Photography.- Future...