R Data Mining Blueprints

Learn about data mining with real-world projects

About This Book

• Solve predictive modeling problems using the most popular data mining algorithms
• Practical and focused on real-world data mining projects, this book covers concepts such as spatial data mining, text mining, social media mining, and web mining
• Real-world case studies illustrate various data mining techniques, taking you from novice to intermediate

Who This Book Is For

Data analysts from beginners to intermediate level who need a step by step helping hand in developing complex data mining projects. They have prior knowledge about basic statistics and little bit of programming language experience in any tool or platform. They ideally would have worked with R before and are now interested in exploring data mining in more depth and in different domains.

What You Will Learn

• Gain knowledge on the new programming interface-R
• Execute models and identify performance indicators
• Compare various alternative techniques
• Implement all the models using R
• Validate and integrate the models developed in R
• Develop and deploy advanced models in data mining with R

In Detail

The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis. It enables you to create high-level graphics and offers an interface to other languages. This means R is best suited to produce data and visual analytics through customization scripts and commands, instead of the typical statistical tools that provide tick boxes and drop-down menus for users.

This book explores data mining techniques and shows you how to apply different mining concepts to various statistical and data applications in a wide range of fields. We will teach you about R and its application to data mining, and give you relevant and useful information you can use to develop and improve your applications. It will help you complete complex data mining projects and guide you through handling issues you might encounter during projects.

學習以實際專案進行資料探勘

關於本書

- 使用最流行的資料探勘演算法解決預測建模問題
- 本書實用且專注於實際的資料探勘專案，涵蓋空間資料探勘、文字探勘、社群媒體探勘和網路探勘等概念
- 透過真實案例研究，展示各種資料探勘技術，從初學者到中級水平

適合閱讀對象

- 從初學者到中級水平的資料分析師，需要逐步指導開發複雜的資料探勘專案。他們對基本統計學有先備知識，並在任何工具或平台上有一點程式語言經驗。他們最好之前有使用過 R，現在有興趣更深入地探索不同領域的資料探勘。

你將學到什麼

- 瞭解新的程式介面-R
- 執行模型並識別效能指標
- 比較各種替代技術
- 使用 R 實現所有模型
- 驗證和整合在 R 中開發的模型
- 在資料探勘中開發和部署高級模型

詳細內容

R 語言是一種功能強大的開源統計程式語言。在其核心，R 是一種統計程式語言，提供了令人印象深刻的資料探勘和分析工具。它能夠創建高級圖形並提供與其他語言的介面。這意味著 R 最適合通過自定義腳本和命令來生成資料和視覺分析，而不是提供給用戶的典型統計工具中的勾選框和下拉菜單。

本書探討資料探勘技術，並向您展示如何將不同的探勘概念應用於各種統計和資料應用領域。我們將教您有關 R 及其在資料探勘中的應用，並提供您可以用於開發和改進應用程式的相關和有用的資訊。它將幫助您完成複雜的資料探勘專案，並指導您處理專案中可能遇到的問題。