Описание: Microsoft Power Automate is a workflow automation solution included in Microsoft 365. This book explores the core concepts of workflow automation, such as working with connectors, triggers, and actions, along with their practical implementation in automating business tasks and simplifying digital processes to boost enterprise productivity.
Описание: Data mining is an important branch of computer science and information technology management that deals with the discovery and analysis of datasets. This book covers in detail some existent theories as well as innovative concepts revolving around data mining such as bio data analytics, analysis of social structures and patterns, correlations and fluctuations, etc. With its detailed analyses and data, this book will prove immensely beneficial to professionals and students involved in this area at various levels.
Описание: This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. presents techniques for machine learning for big data, and identifying duplicate records in data repositories;
Описание: Offers information related to issues and solutions in data mining and the influence of political and socioeconomic factors. This book includes coverage of issues and technological solutions in data mining, and covers problems with applicable laws governing such issues.
Описание: Provides case studies developed by faculty and graduates of the University of Louisville`s PhD program in Applied and Industrial Mathematics. The studies use non-traditional, exploratory data analysis and data mining tools to examine health outcomes, finding patterns and trends in observational data. It is ideal for the next generation of data mining practitioners.
Автор: Sarka Dejan Название: Data Science with SQL Server Quick Start Guide ISBN: 1789537126 ISBN-13(EAN): 9781789537123 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: SQL Server started to fully support data science only with its last two editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning Services for their projects, then this is the ideal book for you.
Автор: Paola Pucci; Fabio Manfredini; Paolo Tagliolato Название: Mapping Urban Practices Through Mobile Phone Data ISBN: 331914832X ISBN-13(EAN): 9783319148328 Издательство: Springer Рейтинг: Цена: 6839.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains the potential value of using mobile phone data to monitor urban practices and identify rhythms of use in today`s cities.
Описание: This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes:The increasing availability of electronic text data resources relating to Science, Technology and Innovation (ST&I).The multiple methods that are able to treat this data effectively and incorporate means to tap into human expertise and interests.Translating those analyses to provide useful intelligence on likely future developments of particular emerging S&T targets. Tech Mining can be defined as text analyses of ST&I information resources to generate Competitive Technical Intelligence (CTI). It combines bibliometrics and advanced text analytic, drawing on specialized knowledge pertaining to ST&I. Tech Mining may also be viewed as a special form of “Big Data” analytics because it searches on a target emerging technology (or key organization) of interest in global databases. One then downloads, typically, thousands of field-structured text records (usually abstracts), and analyses those for useful CTI. Forecasting Innovation Pathways (FIP) is a methodology drawing on Tech Mining plus additional steps to elicit stakeholder and expert knowledge to link recent ST&I activity to likely future development. A decade ago, we demeaned Management of Technology (MOT) as somewhat self-satisfied and ignorant. Most technology managers relied overwhelmingly on casual human judgment, largely oblivious of the potential of empirical analyses to inform R&D management and science policy. CTI, Tech Mining, and FIP are changing that. The accumulation of Tech Mining research over the past decade offers a rich resource of means to get at emerging technology developments and organizational networks to date. Efforts to bridge from those recent histories of development to project likely FIP, however, prove considerably harder. One focus of this volume is to extend the repertoire of information resources; that will enrich FIP.Featuring cases of novel approaches and applications of Tech Mining and FIP, this volume will present frontier advances in ST&I text analytics that will be of interest to students, researchers, practitioners, scholars and policy makers in the fields of R&D planning, technology management, science policy and innovation strategy.
Автор: Thakuriah Название: Seeing Cities Through Big Data ISBN: 331940900X ISBN-13(EAN): 9783319409009 Издательство: Springer Рейтинг: Цена: 26832.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.
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