Hofmann Markus RapidMiner 9781482205497

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Автор: Hofmann Markus
Название: RapidMiner
ISBN: 9781482205497
Издательство: Taylor&Francis
Классификация:

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ISBN-10: 1482205491
Обложка/Формат: Hardback
Страницы: 525
Вес: 1.09 кг.
Дата издания: 13.11.2013
Серия: Chapman & hall/crc data mining and knowledge discovery series
Язык: English
Иллюстрации: 27 tables, black and white; 19 illustrations, color; 318 illustrations, black and white
Размер: 256 x 189 x 34
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Probability & statistics, BUSINESS & ECONOMICS / Statistics,COMPUTERS / Databases / Data Mining,COMPUTERS / Machine Theory
Основная тема: Statistical Computing
Подзаголовок: Data mining use cases and business analytics applications
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
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.

RapidMiner, Hofmann Markus