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Название: Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications
Автор: Debabrata Samanta, SK Hafzul Islam, Naveen Chilamkurti
Издательство: CRC Press
Год: 2022
Страниц: 275
Язык: английский
Формат: pdf (true), epub (true)
Размер: 15.8 MB

With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for Machine Learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how Machine Learning improves the computational model based on the new information. Numerous programming languages work along with ML involving Python, R, Java, and jаvascript. Python is the popular choice for many developers because of its Tensor Flow library, which helps to give a comprehensive ecosystem of ML tools.

Название: Intelligent Mobile Malware Detection
Автор: Tony Thomas, Roopak Surendran, Teenu S. John
Издательство: CRC Press
Год: 2023
Страниц: 191
Язык: английский
Формат: pdf (true), epub (true)
Размер: 14.7 MB

The popularity of Android mobile phones has caused more cybercriminals to create malware applications that carry out various malicious activities. The attacks proved there is great importance in protecting Android mobile devices from malware attacks. Intelligent Mobile Malware Detection will teach users how to develop intelligent Android malware detection mechanisms by using various graph and stochastic models. The book begins with an introduction to the Android operating system accompanied by the limitations of the state-of-the-art static malware detection mechanisms as well as a detailed presentation of a hybrid malware detection mechanism. The text then presents four different system call-based dynamic Android malware detection mechanisms using graph centrality measures, graph signal processing and graph convolutional networks. Further, it shows how most of the Android malware can be detected by checking the presence of a unique subsequence of system calls in its system call sequence. All the malware detection mechanisms presented in the book are based on the authors' recent research. The experiments are conducted with the latest Android malware samples and the malware samples are collected from public repositories. The source codes are also provided for easy implementation of the mechanisms. This book will be highly useful to Android malware researchers, developers, students and cyber security professionals to explore and build defense mechanisms against the ever-evolving Android malware.

Название: Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics and Beyond
Автор: Ripon Patgiri, Sabuzima Nayak, Naresh Babu Muppalaneni
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 230
Язык: английский
Формат: pdf (true), epub
Размер: 18.3 MB

Bloom Filter: A Data Structure for Computer Networking, Big Data, Cloud Computing, Internet of Things, Bioinformatics, and Beyond focuses on both the theory and practice of the most emerging areas for Bloom filter application, including Big Data, Cloud Computing, Internet of Things, and Bioinformatics. Sections provide in-depth insights on structure and variants, focus on its role in computer networking, and discuss applications in various research domains, such as Big Data, Cloud Computing, and Bioinformatics. Since its inception, the Bloom Filter has been extensively experimented with and developed to enhance system performance such as web cache. Bloom Filter is a simple data structure for membership filtering. It has a simple architecture and operations with high performance.

Название: Practitioner's Guide to Operationalizing Data Governance
Автор: Mary Anne Hopper
Издательство: Wiley
Год: 2023
Страниц: 240
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Discover what does—and doesn't—work when designing and building a data governance program. In A Practitioner's Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on. This book guides you through practical steps in applying Data Governance concepts to solve business problems by adopting a disciplined approach to Data Management methods. The chapters cover prioritization, alignment of Data Governance and Data Management, organizational structures, defining roles and responsibilities, communications, measurements, operations, implementation, and policies. All of the examples presented are not conceptual; they are real‐world customer examples that can be applied to your specific organization.

Название: T-SQL Fundamentals (Developer Reference), 4th Edition
Автор: Itzik Ben-Gan
Издательство: Microsoft Press/Pearson Education
Год: 2023
Страниц: 601
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.2 MB, 70.4 MB

Query and modify data effectively with the latest T-SQL features. Master Transact-SQL’s fundamentals, and write correct, robust code for querying and modifying data with modern Microsoft data technologies, including SQL Server 2022, Azure SQL Database, and Azure SQL Managed Instance. Long-time Microsoft Data Platform MVP Itzik Ben-Gan explains key T-SQL concepts, helping you apply your knowledge with hands-on exercises. Ben-Gan first introduces T-SQL’s theory and underlying logic, illuminating it as both a language and a way of thinking. Next, he walks through core topics, including logical query processing, single table queries, joins, subqueries, table expressions, set operators, data analysis, data modifications, temporal tables, and transactions and concurrency. Building on this foundation, you’ll enhance your coding capabilities, from programmatic constructs to the powerful new SQL Graph. Throughout, Ben-Gan presents reusable T-SQL sample code that works in cloud, on-premises, and hybrid environments.

Название: Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions (5th Early Release)
Автор: Andy Petrella
Издательство: O’Reilly Media, Inc.
Год: 2023-05-02
Страниц: 198
Язык: английский
Формат: epub (true)
Размер: 10.7 MB

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enable data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or Machine Learning engineer, or if the quality of your work depends on the quality of your data, this book shows you how to focus on the practical aspects of introducing data observability in your everyday work. Author Andy Petrella helps you build the right habits to identify and solve data issues, such as data drifts and poor quality, so you can stop their propagation in data applications, pipelines, and analytics. You'll learn ways to introduce data observability, including setting up a framework for generating and collecting all the information you need.

Название: Windows без страха для начинающих
Автор(ы): Миронов Д.А.
Издательство: Эксмо
Год: 2012
Страниц: 208
Формат: PDF
Размер: 513 Мб
Язык: русский

Уже который год операционная система Windows не перестает удивлять компьютерный мир настоящим технологическим прорывом. И перед вами – лучшая книга для получения навыков пользователя операционной системы. Открыв ее, вы обнаружите, что она кардинально отличается от других – весь материал представлен в виде последовательных, подробно иллюстрированных визуальных инструкций. Выполняя пошаговые инструкции, вы никогда не запутаетесь в тех или иных действиях

Название: Технологии анализа данных. Data Mining, Visual Mining, Text Mining, OLAP
Автор: Барсегян А.А., Куприянов М.С. и др.
Издательство: БХВ-Петербург
Год: 2007 - 2-е изд., перераб. и дополн.
Cтраниц: 384
Формат: pdf
Размер: 127 мб
Язык: русский

Книга является вторым, обновленным и дополненным, изданием учебного пособия «Методы и модели анализа данных. OLAP и Data Mining». Излагаются основные направления в области разработки корпоративных систем: организация хранилищ данных, распределенный, оперативный (OLAP), интеллектуальный (Data Mining), визуальный (Visual Mining) и текстовый (Text Mining) анализ данных.

Название: Разберись в Data Science: как освоить науку о данных и научиться думать как эксперт
Автор: Алекс Дж. Гатман, Джордан Голдмейер
Издательство: Эксмо
Год: 2023
Страниц: 296
Язык: русский
Формат: pdf, fb2, epub
Размер: 12.3 MB

Перед вами исчерпывающее руководство по основам Data Science. С помощью него вы сможете научиться мыслить статистически и понимать, какую роль в вашей работе играет аналитика, пользоваться языком науки о данных, избегать распространенных ошибок при работе с ними и, наконец, разобраться в полезных инструментах, которые используют эксперты. В этой книге вы познакомитесь с инструментами, терминами и образом мышления, необходимыми для навигации по промышленному комплексу науки о данных. Вы научитесь понимать данные и связанные с ними проблемы на более глубоком уровне, критически относиться к данным и результатам, с которыми сталкиваетесь, а также разумно говорить обо всем, что касается данных. Короче говоря, вы станете главным по данным. Многие полагают, что «традиционная» аналитика, большие данные и искусственный интеллект (ИИ) – это отдельные явления. Однако авторы книги «Разберись в Data Science» справедливо считают, что эти вещи тесно связаны друг с другом.

Название: Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence
Автор: Alejandro Pena-Ayala
Издательство: Springer
Серия: Big Data Management
Год: 2023
Страниц: 298
Язык: английский
Формат: pdf (true), epub
Размер: 33.3 MB

This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze Big Data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-–sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic Big Data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice.