Web Data Mining and Applications in Business Intelligence and Counter-Terrorism pdf epub mobi txt 电子书下载 2026

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出版者:CRC Press

作者:Bhavani Thuraisingham

出品人:

页数:544

译者:

出版时间:2003-06-26

价格:USD 104.95

装帧:Hardcover

isbn号码:9780849314605

丛书系列:

图书标签:

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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具体描述

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.

这本书以Web数据挖掘与应用在商业智能及反恐领域为核心主题，系统地探讨了从海量网络数据中提取价值的技术手段。内容覆盖了数据收集、清洗与预处理等基础步骤，同时深入分析了算法在商业决策支持中的实际应用。书中详细介绍了机器学习模型在风险预测、市场趋势分析以及用户行为识别方面的具体实现路径，帮助读者理解复杂的技术流程及其实际操作性。此外，还强调了数据隐私保护与合规性的重要问题，为从业者提供了全面的思考框架。书中特别注重展示理论与实践的结合，通过大量案例研究展示如何将Web数据挖掘应用于提升业务效率和安全防范能力。内容结构清晰，层次分明，从基础概念逐步深入到具体技术细节，适合对商业智能、信息科学及数据驱动决策感兴趣的读者参考。在整个过程中，作者采用了逻辑严谨的分析方式，确保每个章节都能为读者提供实用且深刻的知识。无论是初学者还是有一定背景的专业人士，这本书都能帮助其系统化掌握相关领域的重要知识，并拓宽视野，为未来的研究与应用打下坚实基础。该书不仅关注技术层面，还强调了对数据伦理和法律规范的重视，使读者在探索新方法时更具责任感和全面性。通过丰富的图表和真实场景描述，帮助用户更直观地理解各个模块间的关联与应用价值。总体而言，这本书是一份集成了最新技术进展、实际案例及理论支撑的权威参考，适合希望深入学习Web数据挖掘与商业智能领域的专业读者。其内容丰富，结构紧凑，既有理论深度又有实践指导，具有较高的学术价值和应用意义。