Data Mining: Technologies, Techniques, Tools, and Trends
暫譯: 資料探勘：技術、技巧、工具與趨勢
Bhavani Thuraisingham
- 出版商: CRC
- 出版日期: 1998-12-18
- 售價: $1,440
- 貴賓價: 9.8 折 $1,411
- 語言: 英文
- 頁數: 288
- 裝訂: Hardcover
- ISBN: 0849318157
- ISBN-13: 9780849318153
-
相關分類:
Data-mining
無法訂購
商品描述
Description:
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.
Three parts divide Data Mining:
o Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining
o Part II presents tools and techniques - getting the data ready, carrying out the mining, pruning the results, evaluating outcomes, defining specific approaches, examining a specific technique based on logic programming, and citing literature and vendors for up-to-date information
o Part III examines emerging trends - mining distributed and heterogeneous data sources; multimedia data, such as text, images, video; mining data on the World Wide Web; metadata aspects of mining; and privacy issues.
This self-contained book also contains two appendices providing exceptional information on technologies, such as data management, and artificial intelligence.
Is there a need for mining? Do you have the right tools? Do you have the people to do the work? Do you have sufficient funds allocated to the project? All these answers must be answered before embarking on a project. Data Mining provides singular guidance on appropriate applications for specific techniques as well as thoroughly assesses valuable product information.
商品描述(中文翻譯)
**描述：**
- 概述數據挖掘的模型、原型和產品
- 從各種數據來源分析信息、模式和趨勢
- 以易於理解的方式討論複雜的概念
- 解釋各種數據管理技術並展示它們與挖掘的關係
- 確定適合特定問題的數據挖掘產品
專注於數據中心的視角，本書提供了數據挖掘的完整概述：其用途、方法、當前技術、商業產品和未來挑戰。
《數據挖掘》分為三個部分：
- 第一部分描述數據挖掘的技術 - 數據庫系統、數據倉儲、機器學習、可視化、決策支持、統計、並行處理以及數據挖掘的架構支持
- 第二部分介紹工具和技術 - 整理數據、執行挖掘、修剪結果、評估結果、定義特定方法、基於邏輯編程檢查特定技術，以及引用文獻和供應商以獲取最新信息
- 第三部分考察新興趨勢 - 挖掘分佈式和異構數據來源；多媒體數據，如文本、圖像、視頻；在全球資訊網上挖掘數據；挖掘的元數據方面；以及隱私問題。
這本自成一體的書還包含兩個附錄，提供有關技術的卓越信息，如數據管理和人工智慧。
是否需要進行挖掘？你有合適的工具嗎？你有能夠完成工作的團隊嗎？你是否為該項目分配了足夠的資金？在啟動項目之前，必須回答所有這些問題。《數據挖掘》提供了針對特定技術的適當應用的獨特指導，並徹底評估有價值的產品信息。
