R and Data Mining: Examples and Case Studies (Hardcover)

Yanchang Zhao

R and Data Mining: Examples and Case Studies (Hardcover)

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商品描述

This book introduces using R for data mining. Data mining techniques are widely used in government agencies, banks, insurance, retail, telecom, medicine and research. Recently, there is an increasing tendency to do data mining with R, a free software environment for statistical computing and graphics. According to a poll by KDnuggets.com in early 2011, R is the 2nd popular tool for data mining work. By introducing using R for data mining, this book will have a broad audience from both academia and industry. It targets researchers in the field of data mining, postgraduate students who are interested in data mining, and data miners and analysts from industry. For example, many universities have courses on data mining, and the proposed book will be a useful reference for students learning data mining in those courses. There are also many training courses on data mining in industry, such as training by SAS and IBM on data mining. The book will be of interest to the course learners as well.

  • Presents an introduction into using R for data mining applications, covering most popular data mining techniques
  • Provides code examples and data so that readers can easily learn the techniques
  • Features case studies in real-world applications to help readers apply the techniques in their work

商品描述(中文翻譯)

本書介紹了使用R進行數據挖掘的方法。數據挖掘技術在政府機構、銀行、保險、零售、電信、醫療和研究領域被廣泛應用。最近，使用R進行數據挖掘的趨勢越來越高，R是一個免費的統計計算和圖形化的軟體環境。根據KDnuggets.com在2011年初的一項調查，R是第二受歡迎的數據挖掘工具。通過介紹使用R進行數據挖掘，本書將吸引來自學術界和工業界的廣泛讀者。目標讀者包括數據挖掘領域的研究人員、對數據挖掘感興趣的研究生以及來自工業界的數據挖掘師和分析師。例如，許多大學開設了數據挖掘課程，本書將成為學生學習數據挖掘的有用參考資料。工業界也有許多數據挖掘培訓課程，如SAS和IBM的數據挖掘培訓。本書也將對參加這些課程的學習者有所幫助。

本書的特點如下：
- 提供了使用R進行數據挖掘應用的介紹，涵蓋了最常用的數據挖掘技術。
- 提供代碼示例和數據，讓讀者能夠輕鬆學習這些技術。
- 通過實際應用案例研究，幫助讀者將這些技術應用到自己的工作中。

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