Design and Implementation of Data Mining Tools (Hardcover)

Bhavani Thuraisingham, Latifur Khan, Mamoun Awad, Lei Wang

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商品描述

Focusing on three applications of data mining, Design and Implementation of Data Mining Tools explains how to create and employ systems and tools for intrusion detection, Web page surfing prediction, and image classification. Mainly based on the authors’ own research work, the book takes a practical approach to the subject.

 

The first part of the book reviews data mining techniques, such as artificial neural networks and support vector machines, as well as data mining applications. The second section covers the design and implementation of data mining tools for intrusion detection. It examines various designs and performance results, along with the strengths and weaknesses of the approaches. The third part presents techniques to solve the WWW prediction problem. The final part describes models that the authors have developed for image classification.

 

Showing step by step how data mining tools are developed, this hands-on guide discusses the performance results, limitations, and unique contributions of data mining systems. It provides essential information for technologists to decide on the tools to select for a particular application, for developers to focus on alternative designs if an approach is unsuitable, and for managers to choose whether to proceed with a data mining project.

商品描述(中文翻譯)

《設計與實作資料探勘工具》專注於資料探勘的三個應用領域,解釋了如何創建和應用於入侵檢測、網頁瀏覽預測和圖像分類的系統和工具。本書主要基於作者們自己的研究工作,以實用的方式探討這一主題。

本書的第一部分回顧了資料探勘技術,如人工神經網絡和支持向量機,以及資料探勘應用。第二部分介紹了用於入侵檢測的資料探勘工具的設計和實作。它檢視了各種設計和性能結果,以及方法的優點和缺點。第三部分介紹了解決網頁預測問題的技術。最後一部分描述了作者們為圖像分類開發的模型。

本書逐步展示了資料探勘工具的開發過程,並討論了資料探勘系統的性能結果、限制和獨特貢獻。它為技術人員提供了選擇特定應用的工具的重要信息,為開發人員提供了在方法不適用時尋找替代設計的重點,並為管理人員提供了選擇是否進行資料探勘項目的依據。