Data Mining and Business Analytics with R (Hardcover)

Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are provided with the needed guidance to model and interpret complicated data and become adept at building powerful models for prediction and classification.

Highlighting both underlying concepts and practical computational skills, Data Mining and Business Analytics with R begins with coverage of standard linear regression and the importance of parsimony in statistical modeling. The book includes important topics such as penalty-based variable selection (LASSO); logistic regression; regression and classification trees; clustering; principal components and partial least squares; and the analysis of text and network data. In addition, the book presents:

• A thorough discussion and extensive demonstration of the theory behind the most useful data mining tools

• Illustrations of how to use the outlined concepts in real-world situations

• Readily available additional data sets and related R code allowing readers to apply their own analyses to the discussed materials

• Numerous exercises to help readers with computing skills and deepen their understanding of the material

Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics. The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences.

從大量的數據中收集、分析和提取有價值的信息需要易於訪問、強大的計算和分析工具。《使用R進行數據挖掘和商業分析》利用開源軟件R來分析、探索和簡化大型高維數據集。因此，讀者將獲得所需的指導，以對複雜數據進行建模和解釋，並能夠建立強大的預測和分類模型。

《使用R進行數據挖掘和商業分析》既強調基本概念，又注重實際的計算技能，首先介紹了標準線性回歸和統計建模中的簡潔性的重要性。該書還包括重要主題，如基於懲罰的變量選擇（LASSO）；邏輯回歸；回歸和分類樹；聚類；主成分和偏最小二乘法；以及文本和網絡數據的分析。此外，該書還提供了：

- 對最有用的數據挖掘工具背後理論的詳細討論和廣泛演示
- 示範如何在實際情況下應用所述概念
- 提供可用的附加數據集和相關的R代碼，讓讀者能夠將自己的分析應用於所討論的材料
- 大量練習，幫助讀者提升計算技能並加深對材料的理解

《使用R進行數據挖掘和商業分析》是一本優秀的研究生教材，適用於數據挖掘和商業分析課程。該書也是金融、運營管理、市場營銷和信息科學等領域的從業人員收集和分析數據的寶貴參考資料。