Business Intelligence: Data Mining and Optimization for Decision Making (Paperback)

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made.

Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence.

This book:

• Combines detailed coverage with a practical guide to the mathematical models and analysis methodologies of business intelligence.
• Covers all the hot topics such as data warehousing, data mining and its applications, machine learning, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation.
• Is made accessible to readers through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies.
• Explains how to utilise mathematical models and analysis models to make effective and good quality business decisions.

This book is aimed at postgraduate students following data analysis and data mining courses.

Researchers looking for a systematic and broad coverage of topics in operations research and mathematical models for decision-making will find this an invaluable guide.

商業智能是一個廣泛的應用和技術類別，用於收集、提供訪問和分析數據，以幫助企業用戶做出更好的商業決策。該術語意味著對影響企業的所有因素（如客戶、競爭對手、商業合作夥伴、經濟環境和內部運營）有全面的了解，從而實現最佳決策。

《商業智能》為讀者提供了一本介紹和實用指南，介紹了對商業智能至關重要的數學模型和分析方法。

本書具有以下特點：
- 結合詳細的內容和對商業智能的數學模型和分析方法的實用指南。
- 涵蓋了數據倉儲、數據挖掘及其應用、機器學習、分類、供應優化模型、決策支持系統和性能評估的分析方法等熱門話題。
- 通過對每個概念的仔細定義和介紹，以及大量的示例和許多實際案例研究，使讀者能夠理解和應用數學模型和分析方法，做出有效且高質量的商業決策。

本書面向修讀數據分析和數據挖掘課程的研究生學生。研究人員尋求有關運營研究和決策制定的數學模型的系統性和廣泛的涵蓋將會發現這是一本寶貴的指南。