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Applied Health Care Analytics: Enabling Transformative Health Care Through Data Science, Machine Learning, And Cognitive Computing, Mark Albert, Plamen Petrov


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Цена: 16632.00р.
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Автор: Mark Albert, Plamen Petrov
Название:  Applied Health Care Analytics: Enabling Transformative Health Care Through Data Science, Machine Learning, And Cognitive Computing
ISBN: 9789813142541
Издательство: World Scientific Publishing
Классификация:
ISBN-10: 9813142545
Обложка/Формат: Hardback
Страницы: 300
Вес: 0.59 кг.
Дата издания: 31.12.2023
Серия: Advances and opportunities with big data and analytics
Язык: English
Размер: 231 x 163 x 23
Читательская аудитория: General (us: trade)
Ключевые слова: Data mining, COMPUTERS / Databases / Data Mining,COMPUTERS / Intelligence (AI) & Semantics,MEDICAL / Health Care Delivery
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Поставляется из: Англии
Описание: The healthcare systems in the US and globally are undergoing a period of rapid transformation. Medical technology breakthroughs, economic pressures and demographic trends are driving that transformation, but key enablers and catalysts for those changes are advancements in Analytics, Data Science, Cognitive Computing, and Machine Learning. Massive volumes of data are created during regular healthcare administration, delivery, and research operations; additionally, outside the medical community people produce data as part of their daily activities and social interactions that can be mined for medical use. How can this data be put to use in an ethical way respecting privacy and security to achieve the goal of high quality, accessible and affordable Healthcare? Advanced analytics and cognitive computing are a big part of the answer. In Applied Heath Care Analytics, the authors provide a concise yet comprehensive review of the key enabling tech and explain how those technologies are becoming the backbone of the Healthcare of tomorrow.


RapidMiner

Автор: Hofmann Markus
Название: RapidMiner
ISBN: 1482205491 ISBN-13(EAN): 9781482205497
Издательство: Taylor&Francis
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Цена: 12707.00 р.
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Описание: Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of increasingly complex problems. Learn from the Creators of the RapidMiner Software Written by leaders in the data mining community, including the developers of the RapidMiner software, RapidMiner: Data Mining Use Cases and Business Analytics Applications provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The software and their extensions can be freely downloaded at www.RapidMiner.com. Understand Each Stage of the Data Mining ProcessThe book and software tools cover all relevant steps of the data mining process, from data loading, transformation, integration, aggregation, and visualization to automated feature selection, automated parameter and process optimization, and integration with other tools, such as R packages or your IT infrastructure via web services. The book and software also extensively discuss the analysis of unstructured data, including text and image mining. Easily Implement Analytics Approaches Using RapidMiner and RapidAnalytics Each chapter describes an application, how to approach it with data mining methods, and how to implement it with RapidMiner and RapidAnalytics. These application-oriented chapters give you not only the necessary analytics to solve problems and tasks, but also reproducible, step-by-step descriptions of using RapidMiner and RapidAnalytics. The case studies serve as blueprints for your own data mining applications, enabling you to effectively solve similar problems.

The Data and Analytics Playbook

Автор: Lowell Fryman
Название: The Data and Analytics Playbook
ISBN: 0128023074 ISBN-13(EAN): 9780128023075
Издательство: Elsevier Science
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Цена: 7409.00 р.
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Описание:

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.

The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.

In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

Beginning SQL Server R Services

Автор: Beard
Название: Beginning SQL Server R Services
ISBN: 1484222970 ISBN-13(EAN): 9781484222973
Издательство: Springer
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Цена: 4191.00 р.
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Описание:

Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an environment most developers are already comfortable with – Visual Studio. This book walks even the newest of users through the creation process of a powerful R-language tool set for use in analyzing and reporting on your data.As a SQL Server database administrator or developer, it is sometimes difficult to stay on the bleeding edge of technology. Microsoft’s addition of R to SQL Server 2016 is sure to be a game-changer, and the language will certainly become an integral part of future releases. R is in fact widely used today in statistical and related applications, and its use is only growing. Beginning SQL Server R Services helps you jump on board this important trend by providing good examples with detailed explanations of the WHY and not just the HOW.Walks you through setup and installation of SQL Server R Services.Explains the basics of working with R Tools for Visual Studio.Provides a road map to successfully creating custom R code.
What You Will Learn
Discover R’s role in the SQL Server 2016 hierarchy.Manage the components needed to run SQL Server R Services code.Run R-language analytics and queries inside the database.Create analytic solutions that run across multiple datasets.Gain in-depth knowledge of the R language itself.Implement custom SQL Server R Services solutions.
Who This Book Is For
Any level of database administrator or developer, but specifically it's for those developers with the need to develop powerful data analytics applications quickly. Seasoned R developers will appreciate the book for its robust learning pattern, using visual aids in combination with properties explanations and scenarios. Beginning SQL Server R Services is the perfect “new hire” gift for new database developers in any organization.
Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends

Автор: David Taniar, Lukman Hakim Iwan
Название: Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends
ISBN: 1613504748 ISBN-13(EAN): 9781613504741
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Provides an updated look at the state of technology in the field of data mining and analytics. As processor speeds, database size, network capabilities, artificial intelligence, and most fields of hardware and software continue to improve at a staggering rate of increased capability and pace, it is vital for practitioners to stay abreast of the current issues and research in the field.

Cognitive Social Mining Applications in Data Analytics and Forensics

Автор: Anandakumar Haldorai, Arulmurugan Ramu
Название: Cognitive Social Mining Applications in Data Analytics and Forensics
ISBN: 1522575227 ISBN-13(EAN): 9781522575221
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data.Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Автор: P. Karthikeyan, Polinpapilinho F Katina, S.P. Anandaraj
Название: New Approaches to Data Analytics and Internet of Things Through Digital Twin
ISBN: 1668457237 ISBN-13(EAN): 9781668457238
Издательство: Mare Nostrum (Eurospan)
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Цена: 31878.00 р.
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Описание: Considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. The book covers key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery.

Recent Developments in Machine Learning and Data Analytics

Автор: Kalita
Название: Recent Developments in Machine Learning and Data Analytics
ISBN: 9811312796 ISBN-13(EAN): 9789811312793
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents high-quality papers from an international forum for research on computational approaches to learning. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted.

New Approaches to Data Analytics and Internet of Things Through Digital Twin

Автор: P. Karthikeyan, Polinpapilinho F Katina, S.P. Anandaraj
Название: New Approaches to Data Analytics and Internet of Things Through Digital Twin
ISBN: 1668457229 ISBN-13(EAN): 9781668457221
Издательство: Mare Nostrum (Eurospan)
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Цена: 42134.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. The book covers key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery.

Healthcare Analytics Made Simple

Автор: Kumar Vikas
Название: Healthcare Analytics Made Simple
ISBN: 1787286703 ISBN-13(EAN): 9781787286702
Издательство: Неизвестно
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Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Machine learning and analytics have been widely utilized across the healthcare sector of late. This book will bridge the gap between practicing doctors and you as a data scientist. You will learn how to work with healthcare data and gain better insight from this data to improve healthcare outcomes.

The Art of Feature Engineering: Essentials for Machine Learning

Автор: Pablo Duboue
Название: The Art of Feature Engineering: Essentials for Machine Learning
ISBN: 1108709389 ISBN-13(EAN): 9781108709385
Издательство: Cambridge Academ
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Цена: 6970.00 р.
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Описание: This is a guide for data scientists who want to use feature engineering to improve the performance of their machine learning solutions. The book provides a unified view of the field, beginning with basic concepts and techniques, followed by a cross-domain approach to advanced topics, like texts and images, with hands-on case studies.

Music Data Mining

Автор: Tao Li; Mitsunori Ogihara; George Tzanetakis
Название: Music Data Mining
ISBN: 1439835527 ISBN-13(EAN): 9781439835524
Издательство: Taylor&Francis
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Цена: 16843.00 р.
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Описание:

The research area of music information retrieval has gradually evolved to address the challenges of effectively accessing and interacting large collections of music and associated data, such as styles, artists, lyrics, and reviews. Bringing together an interdisciplinary array of top researchers, Music Data Mining presents a variety of approaches to successfully employ data mining techniques for the purpose of music processing.

The book first covers music data mining tasks and algorithms and audio feature extraction, providing a framework for subsequent chapters. With a focus on data classification, it then describes a computational approach inspired by human auditory perception and examines instrument recognition, the effects of music on moods and emotions, and the connections between power laws and music aesthetics. Given the importance of social aspects in understanding music, the text addresses the use of the Web and peer-to-peer networks for both music data mining and evaluating music mining tasks and algorithms. It also discusses indexing with tags and explains how data can be collected using online human computation games. The final chapters offer a balanced exploration of hit song science as well as a look at symbolic musicology and data mining.

The multifaceted nature of music information often requires algorithms and systems using sophisticated signal processing and machine learning techniques to better extract useful information. An excellent introduction to the field, this volume presents state-of-the-art techniques in music data mining and information retrieval to create novel ways of interacting with large music collections.

A Primer on Business Analytics: Perspectives from the Financial Services Industry

Автор: Seetharam Yudhvir
Название: A Primer on Business Analytics: Perspectives from the Financial Services Industry
ISBN: 1648028195 ISBN-13(EAN): 9781648028199
Издательство: Mare Nostrum (Eurospan)
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Цена: 14692.00 р.
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Описание: Provides a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. The book provides a comprehensive primer and overview of the field (and related fields), and discusses the field as it applies to financial institutions.


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