Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner (Hardcover) 3rd 版本
暫譯: 商業分析的資料探勘:概念、技術與應用,搭配 XLMiner(精裝版)第三版
Galit Shmueli, Peter C. Bruce, Nitin R. Patel
- 出版商: Wiley
- 出版日期: 2016-04-18
- 售價: $4,820
- 貴賓價: 9.5 折 $4,579
- 語言: 英文
- 頁數: 560
- 裝訂: Hardcover
- ISBN: 1118729277
- ISBN-13: 9781118729274
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相關分類:
Data-mining
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其他版本:
Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver Data Mining, 4/e (Hardcover)
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商品描述
Praise for the Second Edition
"…full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing."
– Research Magazine
"Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature."
– ComputingReviews.com
"Excellent choice for business analysts...The book is a perfect fit for its intended audience."
– Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization
"…extremely well organized, clearly written and introduces all of the basic ideas quite well."
– Robert L. Phillips, Professor of Professional Practice, Columbia Business School
Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data.
Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes:
- Real-world examples to build a theoretical and practical understanding of key data mining methods
- End-of-chapter exercises that help readers better understand the presented material
- Data-rich case studies to illustrate various applications of data mining techniques
- Completely new chapters on social network analysis and text mining
- A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides
- Free 140-day license to use XLMiner for Education software
Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology.
商品描述(中文翻譯)
對於 第二版 的讚譽
「……充滿生動且引人深思的軼事……任何對研究和行銷有嚴肅興趣的人都需要閱讀。」
– 研究雜誌
「Shmueli 等人對資料探勘領域的呈現做得非常出色——這是文獻中一個受歡迎的補充。」
– ComputingReviews.com
「對商業分析師來說是絕佳的選擇……這本書非常適合其目標讀者。」
– Keith McCormick,顧問及《SPSS Statistics For Dummies, 第三版》和《SPSS Statistics for Data Analysis and Visualization》的作者
「……組織極為良好,寫得清晰,並且很好地介紹了所有基本概念。」
– Robert L. Phillips,哥倫比亞商學院專業實踐教授
商業分析的資料探勘:概念、技術與 XLMiner® 的應用,第三版提供了一種應用資料探勘和預測分析的方法,內容清晰,包含實作練習和真實案例研究。讀者將使用 Microsoft® Office Excel® 附加元件 XLMiner® 來運用所有標準的資料探勘方法,開發預測模型,並學習如何從大數據中獲取商業價值。
本書涵蓋了更新的主題,包括文本探勘、社交網路分析、協同過濾、集成方法、提升建模等,第三版還包括:
- 真實世界的範例,以建立對關鍵資料探勘方法的理論和實踐理解
- 每章結尾的練習,幫助讀者更好地理解所呈現的材料
- 資料豐富的案例研究,以說明資料探勘技術的各種應用
- 全新章節,涵蓋社交網路分析和文本探勘
- 附屬網站,提供額外的資料集、包含練習和案例研究解答的教學材料,以及 Microsoft PowerPoint® 幻燈片
- 免費 140 天的 XLMiner 教育版軟體使用許可
商業分析的資料探勘:概念、技術與 XLMiner® 的應用,第三版 是高年級本科生和研究生課程以及資料探勘、預測建模和大數據分析的專業課程的理想教科書。這一新版也是分析師、研究人員和從事商業、金融、行銷、計算機科學和資訊技術領域預測分析的實務工作者的獨特參考資料。