Search Books
Managing to Learn: Using th… Systems Thinking Basics: Fr…

RapidMiner: Data Mining Use Cases and Business Analytics Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Author Hofmann, Markus
Publisher Chapman and Hall/CRC
Category Business & Economics
📄 Viewing lite version Full site ›
🌎 Shop on Amazon — choose country
94.61 105.00 USD
🛒 Buy New on Amazon 🇺🇸

✓ In Stock.

Share:
Book Details
ISBN / ASIN1482205491
ISBN-139781482205497
AvailabilityIn Stock.
Sales Rank1,017,152
MarketplaceUnited States 🇺🇸

Description

Powerful, Flexible Tools for a Data-Driven World
As 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 Process
The 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.

Business Cycles and Forecasting
View
Development Economics: Its Position in the Present Sta…
View
Cost Systems Design
View
So You Want to Dance on Broadway
View
The Blueprint: Reviving Innovation, Rediscovering Risk…
View
Managing IT Outsourcing, Second Edition
View
Education and the Creation of Capital in the Early Ame…
View
Global Corruption Report 2005: Special Focus: Corrupti…
View
More Tales for Trainers: Using Stories and Metaphors t…
View