Knowledge Discovery Process and Methods to Enhance Organizational Performance

  • 出版商: Auerbach Publication
  • 出版日期: 2024-01-31
  • 售價: $2,460
  • 貴賓價: 9.5$2,337
  • 語言: 英文
  • 裝訂: Paperback
  • ISBN: 1138894257
  • ISBN-13: 9781138894259
  • 海外代購書籍(需單獨結帳)

商品描述

Although the terms "data mining" and "knowledge discovery and data mining" (KDDM) are sometimes used interchangeably, data mining is actually just one step in the KDDM process. Data mining is the process of extracting useful information from data, while KDDM is the coordinated process of understanding the business and mining the data in order to identify previously unknown patterns.

Knowledge Discovery Process and Methods to Enhance Organizational Performance explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for readers to implement. Sharing the insights of international KDDM experts, it details powerful strategies, models, and techniques for managing the full cycle of knowledge discovery projects. The book supplies a process-centric view of how to implement successful data mining projects through the use of the KDDM process. It discusses the implications of data mining including security, privacy, ethical and legal considerations.

 

  • Provides an introduction to KDDM, including the various models adopted in academia and industry
  • Details critical success factors for KDDM projects as well as the impact of poor quality data or inaccessibility to data on KDDM projects
  • Proposes the use of hybrid approaches that couple data mining with other analytic techniques (e.g., data envelopment analysis, cluster analysis, and neural networks) to derive greater value and utility
  • Demonstrates the applicability of the KDDM process beyond analytics
  • Shares experiences of implementing and applying various stages of the KDDM process in organizations

The book includes case study examples of KDDM applications in business and government. After reading this book, you will understand the critical success factors required to develop robust data mining objectives that are in alignment with your organization’s strategic business objectives.

商品描述(中文翻譯)

儘管「資料探勘」和「知識發現與資料探勘」(KDDM)這兩個術語有時可以互換使用,但資料探勘實際上只是KDDM過程中的一個步驟。資料探勘是從資料中提取有用信息的過程,而KDDM則是協調的過程,旨在理解業務並從中挖掘資料以識別以前未知的模式。

《知識發現過程和方法以提升組織績效》以易於讀者實施的方式解釋了知識發現和資料探勘(KDDM)過程。該書分享了國際KDDM專家的見解,詳細介紹了管理完整的知識發現項目週期的強大策略、模型和技術。該書提供了一個以過程為中心的視角,介紹了如何通過使用KDDM過程來實施成功的資料探勘項目。它討論了資料探勘的影響,包括安全性、隱私性、道德和法律考慮因素。

該書包括了商業和政府中應用KDDM的案例研究示例。閱讀本書後,您將了解開發與組織戰略業務目標相一致的強大資料探勘目標所需的關鍵成功因素。該書還提供了KDDM在組織中各個階段實施和應用的經驗分享。