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Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and Visualization
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Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and VisualizationНазвание: Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and Visualization
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 224
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile Big Data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. This volume focuses on how to efficiently pre-process mobile Big Data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile Big Data mining.


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Statistical Analytics for Health Data Science with SAS and R
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Statistical Analytics for Health Data Science with SAS and RНазвание: Statistical Analytics for Health Data Science with SAS and R
Автор: Jeffrey R. Wilson, Ding-Geng Chen, Karl E. Peace
Издательство: CRC Press
Год: 2023
Страниц: 280
Язык: английский
Формат: pdf (true)
Размер: 10.29 MB

This book is aimed to compile typical fundamental to advanced statistical methods to be used for health data sciences. This book promotes the applications to health and health-related data. However, the models in this book can be used to analyse any kind of data. The data are analysed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers' learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for most commonly used statistical methods from the fundamental level to the advanced level.


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Data Science and Analytics Strategy: An Emergent Design Approach
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Data Science and Analytics Strategy: An Emergent Design ApproachНазвание: Data Science and Analytics Strategy: An Emergent Design Approach
Автор: Kailash Awati, Alexander Scriven
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 231
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB

This book describes how to establish Data Science and analytics capabilities in organisations using Emergent Design , an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements. Before beginning any discussion of the what, how, and why of Data Science, it is necessary to set the scene for where it sits within traditional data- related functions. Data Science itself is not new; many old and well- established analytical techniques have been rebranded as Data Science or Machine Learning (ML) techniques. Be that as it may, there is a general perception that when problems become sufficiently complicated or difficult (both, indeed, quite subjective terms), it is appropriate to label what is being done as being advanced and thus worthy of being called Data Science. This is why we will avoid defining the term and instead discuss what data scientists do, where Data Science fits into the modern organisational landscape, and the elements that are needed in order to do Data Science. In this book we will use the term data analytics stack to describe both the functional and technical elements that are required for Data Science.


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Introduction to Environmental Data Science
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Introduction to Environmental Data ScienceНазвание: Introduction to Environmental Data Science
Автор: Jerry D. Davis
Издательство: CRC Press
Серия: Data Science Series
Год: 2023
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 75.7 MB

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication. Introduction to Environmental Data Science is an ideal textbook to teach undergraduate to graduate level students in environmental science, environmental studies, geography, earth science, and biology, but can also serve as a reference for environmental professionals working in consulting, NGOs, and government agencies at the local, state, federal, and international levels. In the Chapter 2 we’ll introduce the R language, using RStudio to explore its basic data types, structures, functions and programming methods in base R.


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Microsoft 365 for Beginners All in One 2023
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Microsoft 365 for Beginners All in One 2023Название: Microsoft 365 for Beginners All in One 2023
Автор: Jacob Logic
Издательство: Digital Luminary LLC
Год: 2022
Страниц: 315
Язык: английский
Формат: pdf, epub
Размер: 18.6 MB

The Most Inclusive Guide from Beginner to Experienced | Includes Quick Formulas, Word, Excel, PowerPoint, OneNote, Access, Outlook, OneDrive, and Teams. Most people use only twenty percent of an application’s features the majority of the time. With this book, you can learn how to use those features quickly and easily. Learn to communicate effectively and proficiently in Excel, Word, Outlook, PowerPoint and others without feeling stressed or pressured. What you get with “Microsoft Office 365 for Beginners 2023”? Tricks and tips for getting started with Microsoft Office 365; jump start your comprehension with the suite of apps. Grasp all the fundamentals of each application. A complete guide to mastering every essential command without gaps. Become a pro with Microsoft Office applications using clear step-by-step instructions with clear concise illustrations.


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Distributed Systems: Theory and Applications
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Distributed Systems: Theory and ApplicationsНазвание: Distributed Systems: Theory and Applications
Автор: Ratan K. Ghosh, Hiranmay Ghosh
Издательство: Wiley-IEEE Press
Год: 2023
Страниц: 563
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Distributed Systems Comprehensive textbook resource on distributed systems―integrates foundational topics with advanced topics of contemporary importance within the field. Distributed Systems: Theory and Applications is organized around three layers of abstractions: networks, middleware tools, and application framework. It presents data consistency models suited for requirements of innovative distributed shared memory applications. The book also focuses on distributed processing of big data, representation of distributed knowledge and management of distributed intelligence via distributed agents. To aid in understanding how these concepts apply to real-world situations, the work presents a case study on building a P2P Integrated E-Learning system. Downloadable lecture slides are included to help professors and instructors convey key concepts to their students. The limitations of relational databases have led to the development of other data models for distributed big data storage. They are collectively known as NoSQL databases. Some authors prefer to interpret the term “NoSQL” as “not only SQL,” not to preclude relational databases, which are also useful in big-data systems.


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Linux Mastery : 100+ Exercises for Building Your Skills
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Linux Mastery : 100+ Exercises for Building Your SkillsНазвание: Linux Mastery: 100+ Exercises for Building Your Skills
Автор: Frank Anemaet
Издательство: Leanpub
Год: 2023-02-05
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

Unlock the full potential of Linux with hands-on exercises designed to improve your skills and knowledge in this powerful operating system. Take your Linux skills to the next level with this comprehensive guidebook. Filled with hands-on exercises and real-world examples, this book will help you understand the intricacies of the Linux operating system and give you the confidence to tackle any task. Whether you're a beginner or an experienced user, you'll find the knowledge and skills you need to master Linux and unlock its full potential. So why wait? Start your Linux journey today with this essential guidebook. Linux-based operating systems have been around for over 30 years. Although it may not be as well-known as its proprietary counterparts, such as Microsoft Windows or Apple’s macOS, Linux is actually much more prevalent than you might think. In fact, it powers many of the devices that you use on a daily basis, from smartphones to servers to supercomputers.


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Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment, 2nd Edition (Final)
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Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment, 2nd Edition (Final)Название: Trino: The Definitive Guide: SQL at Any Scale, on Any Storage, in Any Environment, 2nd Edition (Final)
Автор: Matt Fuller, Manfred Moser, Martin Traverso
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 322
Язык: английский
Формат: True/Retail PDF EPUB
Размер: 10.27 MB

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. In the second edition of this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's a data lake using Hive, a modern lakehouse with Iceberg or Delta Lake, a different system like Cassandra, Kafka, or SingleStore, or a relational database like PostgreSQL or Oracle. Analysts, software engineers, and production engineers learn how to manage, use, and even develop with Trino and make it a critical part of their data platform. Authors Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization. This second edition modernizes the content to keep up with the rapid innovation of Trino. We cover new aspects such as the Helm chart to deploy a Trino cluster to Kubernetes, the new Iceberg and Delta Lake connectors for modern lakehouse architectures, fault-tolerant execution for query processing, expanded SQL language features, and the latest Trino release, now running on Java 17.


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Data Management at Scale, Second Edition (Fourth Early Release)
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Data Management at Scale, Second Edition (Fourth Early Release)Название: Data Management at Scale: Modern Data Architecture with Data Mesh and Data Fabric, Second Edition (Fourth Early Release)
Автор: Piethein Strengholt
Издательство: O’Reilly Media, Inc.
Год: 2023-01-11
Страниц: 204
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practical book, you'll learn how to design a next-gen data architecture that takes into account the scale you need for your organization. Executives, architects and engineers, analytics teams, and compliance and governance staff will learn how to build a next-gen data landscape. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed.


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Computing for Data Analysis: Theory and Practices
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Computing for Data Analysis: Theory and PracticesНазвание: Computing for Data Analysis: Theory and Practices
Автор: Sanjay Chakraborty, Lopamudra Dey
Издательство: Springer
Год: 2023
Страниц: 230
Язык: английский
Формат: pdf (true), epub
Размер: 25.2 MB

This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on Big Data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area. Data analytics is significant since it aids in the performance optimization of enterprises. By finding more cost-effective ways to do business and retaining a lot of data, firms can help cut expenses by incorporating it into their business strategy. Analyzing data collections to identify trends and make judgments about the information they contain is known as Data Analytics (DA). Data analytics is increasingly carried out with the use of specialist hardware and software.