Web Data Mining and Applications in Business Intelligence and Counter-Terrorism pdf epub mobi txt 電子書下載在線閱讀 2026

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出版者:CRC Press

作者:Bhavani Thuraisingham

出品人:

頁數:544

译者:

出版時間:2003-06-26

價格:USD 104.95

裝幀:Hardcover

isbn號碼:9780849314605

叢書系列:

圖書標籤:

Web Data Mining
Data Mining
Business Intelligence
Counter-Terrorism
Web Intelligence
Data Analysis
Security Informatics
Big Data
Information Retrieval
Machine Learning

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具體描述

The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a confusing maze of mechanisms and strategies for obtaining and managing crucial intelligence.Web Data Mining and Applications in Business Intelligence and Counter-Terrorism responds by presenting a clear and comprehensive overview of Web mining, with emphasis on CRM and, for the first time, security and counter-terrorism applications. The tools and methods of Web mining are revealed in an easy-to-understand style, emphasizing the importance of practical, hands-on experience in the creation of successful e-business solutions.The author, a program director for Data and Applications Security at the National Science Foundations, details how both opportunities and dangers on the Web can be identified and managed. Armed with the knowledge contained in this book, businesses can collect and analyze Web-based data to help develop customer relationships, increase sales, and identify existing and potential threats. Organizations can apply these same Web mining techniques to battle the real and present danger of terrorism, demonstrating Web mining's critical role in the intelligence arsenal.

這本書以Web數據挖掘與應用在商業智能及反恐領域為核心主題，係統地探討瞭從海量網絡數據中提取價值的技術手段。內容覆蓋瞭數據收集、清洗與預處理等基礎步驟，同時深入分析瞭算法在商業決策支持中的實際應用。書中詳細介紹瞭機器學習模型在風險預測、市場趨勢分析以及用戶行為識彆方麵的具體實現路徑，幫助讀者理解復雜的技術流程及其實際操作性。此外，還強調瞭數據隱私保護與閤規性的重要問題，為從業者提供瞭全麵的思考框架。書中特彆注重展示理論與實踐的結閤，通過大量案例研究展示如何將Web數據挖掘應用於提升業務效率和安全防範能力。內容結構清晰，層次分明，從基礎概念逐步深入到具體技術細節，適閤對商業智能、信息科學及數據驅動決策感興趣的讀者參考。在整個過程中，作者采用瞭邏輯嚴謹的分析方式，確保每個章節都能為讀者提供實用且深刻的知識。無論是初學者還是有一定背景的專業人士，這本書都能幫助其係統化掌握相關領域的重要知識，並拓寬視野，為未來的研究與應用打下堅實基礎。該書不僅關注技術層麵，還強調瞭對數據倫理和法律規範的重視，使讀者在探索新方法時更具責任感和全麵性。通過豐富的圖錶和真實場景描述，幫助用戶更直觀地理解各個模塊間的關聯與應用價值。總體而言，這本書是一份集成瞭最新技術進展、實際案例及理論支撐的權威參考，適閤希望深入學習Web數據挖掘與商業智能領域的專業讀者。其內容豐富，結構緊湊，既有理論深度又有實踐指導，具有較高的學術價值和應用意義。