Applied Data Mining for Business and Industry, 2/e (Paperback)

Paolo Giudici, Silvia Figini

  • 出版商: Wiley
  • 出版日期: 2009-06-01
  • 售價: $1,350
  • 貴賓價: 9.8$1,323
  • 語言: 英文
  • 頁數: 258
  • 裝訂: Paperback
  • ISBN: 0470058870
  • ISBN-13: 9780470058879
  • 相關分類: Data-mining
  • 下單後立即進貨 (約5~7天)

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商品描述

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications.

  • Introduces data mining methods and applications.
  • Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods.
  • Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining.
  • Features detailed case studies based on applied projects within industry.
  • Incorporates discussion of data mining software, with case studies analysed using R.
  • Is accessible to anyone with a basic knowledge of statistics or data analysis.
  • Includes an extensive bibliography and pointers to further reading within the text.

Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.

商品描述(中文翻譯)

在我們當前資訊過載的社會中,數據的可用性不斷增加,這就需要有效的工具來對其進行建模和分析。數據挖掘和應用統計方法是從這些數據中提取知識的適當工具。本書以一致且應用導向的統計框架,提供了對數據挖掘方法的易於理解的介紹,並使用真實行業項目的案例研究,突出了數據挖掘方法在各種商業應用中的使用。

本書的特點如下:
- 介紹數據挖掘方法和應用。
- 包括傳統和貝葉斯多變量統計方法以及機器學習和計算數據挖掘方法。
- 包括許多最新發展,如關聯和序列規則、圖形馬爾可夫模型、生命價值建模、信用風險、運營風險和網絡挖掘。
- 以行業應用項目為基礎的詳細案例研究。
- 討論數據挖掘軟件,並使用R進行案例研究分析。
- 適合具有基本統計或數據分析知識的任何人。
- 包括廣泛的參考文獻和本文中的進一步閱讀指南。

《應用於商業和工業的數據挖掘,第二版》針對數據挖掘、應用統計、數據庫管理、計算機科學和經濟學的高年級本科生和研究生。案例研究將為從事大量數據項目的行業專業人士提供指導,例如客戶關係管理、網站設計、風險管理、市場營銷、經濟學和金融等領域。