Data Mining: Technologies, Techniques, Tools, and Trends
暫譯: 資料探勘：技術、技巧、工具與趨勢
Thuraisingham, Bhavani
- 出版商: CRC
- 出版日期: 2019-10-17
- 售價: $2,990
- 貴賓價: 9.5 折 $2,841
- 語言: 英文
- 頁數: 288
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367400162
- ISBN-13: 9780367400163
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相關分類:
Data-mining
海外代購書籍(需單獨結帳)
商品描述
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:
Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision support, statistics, parallel processing, and architectural support for data mining
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
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)
本書專注於數據中心的視角，提供了數據挖掘的完整概述：其用途、方法、當前技術、商業產品及未來挑戰。
數據挖掘分為三個部分：
第一部分描述了數據挖掘的技術 - 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。
第二部分介紹了工具和技術 - 數據準備、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。
第三部分探討了新興趨勢 - 挖掘分散和異構數據源；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。
本書是自成一體的，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。
挖掘是否有必要？你有合適的工具嗎？你有能夠執行工作的團隊嗎？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用應用的獨特指導，並徹底評估有價值的產品信息。
