Computational Intelligence for Business Analytics and Decision Systems
暫譯: 商業分析與決策系統的計算智慧

Alareeni, Bahaaeddin

Computational Intelligence for Business Analytics and Decision Systems
  • 出版商: Springer
  • 出版日期: 2026-05-14
  • 售價: $9,910
  • 貴賓價: 9.8 折 $9,711
  • 語言: 英文
  • 頁數: 741
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303223896X
  • ISBN-13: 9783032238962
  • 相關分類: Machine Learning、Data-mining

    • 海外代購書籍(需單獨結帳)

商品描述

This book offers a complete and forward-looking discussion of how artificial intelligence and advanced analytics are changing modern business decision-making. This book combines foundational theory with leading-edge application in computational intelligence to offer a structured approach to intelligent, data-driven enterprise systems.

This book brings together contributions from leading thinkers in the field and covers foundational methodologies including machine learning, deep learning, neural networks, fuzzy logic, soft computing, evolutionary and genetic algorithms, and hybrid intelligent systems. It also explores other important areas including predictive and prescriptive analytics, optimization algorithms, big data analytics, and data mining techniques to support intelligent business systems.

This book also explores how these methodologies are applied in financial analytics, risk management, portfolio optimization, customer analytics, market segmentation, demand forecasting, supply chain analytics, and operations optimization. It also places special emphasis on explainable artificial intelligence, intelligent decision support systems, and enterprise performance analytics to ensure that advanced computational models are transparent, reliable, and strategically aligned to enterprise goals.

This book is intended for researchers, postgraduate students, data scientists, financial analysts, operations managers, digital transformation leaders, and other professionals who are interested in computational intelligence and its application in intelligent business systems. It offers a structured approach to intelligent enterprise systems, which can increase competitiveness, improve forecasting, optimize enterprise resources, and support digital transformation in a sustainable manner.

With its blend of rigorous analytical techniques and practical business insights, this book is an essential reference to how intelligent algorithms and decision systems are changing the future of business analytics.

商品描述(中文翻譯)

本書提供了一個完整且前瞻性的討論，探討人工智慧和先進分析如何改變現代商業決策。本書結合了基礎理論與計算智能的前沿應用，提供了一種結構化的方法來建立智能的數據驅動企業系統。

本書匯集了該領域的領先思想家的貢獻，涵蓋了包括機器學習（machine learning）、深度學習（deep learning）、神經網絡（neural networks）、模糊邏輯（fuzzy logic）、軟計算（soft computing）、進化和遺傳算法（evolutionary and genetic algorithms）以及混合智能系統（hybrid intelligent systems）等基礎方法論。它還探討了其他重要領域，包括預測性和處方性分析（predictive and prescriptive analytics）、優化算法（optimization algorithms）、大數據分析（big data analytics）和數據挖掘技術（data mining techniques），以支持智能商業系統。

本書還探討了這些方法論在金融分析、風險管理、投資組合優化、客戶分析、市場細分、需求預測、供應鏈分析和運營優化中的應用。它特別強調可解釋的人工智慧（explainable artificial intelligence）、智能決策支持系統（intelligent decision support systems）和企業績效分析（enterprise performance analytics），以確保先進的計算模型是透明的、可靠的，並與企業目標戰略對齊。

本書旨在為研究人員、研究生、數據科學家、金融分析師、運營經理、數位轉型領導者及其他對計算智能及其在智能商業系統中的應用感興趣的專業人士提供參考。它提供了一種結構化的方法來建立智能企業系統，這可以提高競爭力、改善預測、優化企業資源，並以可持續的方式支持數位轉型。

本書結合了嚴謹的分析技術和實用的商業洞察，是了解智能算法和決策系統如何改變商業分析未來的重要參考資料。

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