Das Data Science Using Oracle Data Miner and Oracle R Enterprise 9781484226131

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Автор: Das
Название: Data Science Using Oracle Data Miner and Oracle R Enterprise
ISBN: 9781484226131
Издательство: Springer
Классификация:

Языки программирования и описания сценариев: общие сведения

Базы данных

ISBN-10: 1484226135
Обложка/Формат: Paperback
Страницы: 289
Вес: 0.49 кг.
Дата издания: 2016
Язык: English
Иллюстрации: 29 black & white illustrations, 289 colour illustrations, biography
Размер: 157 x 239 x 20
Читательская аудитория: Professional & vocational
Основная тема: Professional Computing
Подзаголовок: Transform Your Business Systems into an Analytical Powerhouse
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. Youll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables.Youll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. Youll get to know various options available in the ODM workflow for driving automation. Also, youll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes.Data Science Automation Using Oracle Data Miner and Oracle R Enterprise starts with an introduction to business analytics, covering why automation is necessary and the level of complexity in automation at each analytic stage. Then, it focuses on how predictive analytics can be automated by using Oracle Data Miner and Oracle R Enterprise. Also, it explains when and why ODM and ORE are to be used together for automation.The subsequent chapters detail various statistical processes used for predictive analytics such as calculating attribute importance, clustering methods, regression analysis, classification techniques, ensemble models, and neural networks. In these chapters you will also get to understand the automation processes for each of these statistical processes using ODM and ORE along with their application in a real-life business use case.What youll learnDiscover the functionality of Oracle Data Miner and Oracle R EnterpriseGain methods to perform in-database predictive analyticsUse Oracles SQL and PLSQL APIs for building analytical solutionsAcquire knowledge of common and widely-used business statistical analysis techniquesWho this book is forIT executives, BI architects, Oracle architects and developers, R users and statisticians.
Дополнительное описание: IntroductionChapter 1 : Getting Started with Oracle Advanced Analytics.- Chapter 2 : Installation and Hello World.- Chapter 3: Clustering Methods.- Chapter 4: Association Rules.- Chapter 5: Regression Analysis.- Chapter 6: Classification Techniques.- Chap

Data Science Using Oracle Data Miner and Oracle R Enterprise, Das