Data Mining: Concepts and Techniques, 4/e (Hardcover)
暫譯: 資料探勘:概念與技術(第4版,精裝本)

Han, Jiawei, Pei, Jian, Tong, Hanghang

  • 出版商: Morgan Kaufmann
  • 出版日期: 2022-10-03
  • 定價: $3,050
  • 售價: 9.8$2,989
  • 語言: 英文
  • 頁數: 752
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0128117605
  • ISBN-13: 9780128117606
  • 相關分類: Data-mining
  • 立即出貨 (庫存 < 3)

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商品描述

Data Mining: Concepts and Techniques, Fourth Edition provides the theories and methods for processing data or information used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from collected data, known as KDD. The book focuses on the feasibility, usefulness, effectiveness and scalability of techniques of large datasets. After describing data mining, the authors explain the methods of knowing, preprocessing, processing and warehousing data. They then present information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described.

The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. Users from computer science students, application developers, business professionals, and researchers who seek information on data mining will find this resource very helpful.

商品描述(中文翻譯)

《資料探勘:概念與技術(第四版)》提供了用於各種應用的數據或信息處理的理論和方法。具體而言,它解釋了資料探勘及用於從收集的數據中發現知識的工具,這一過程稱為 KDD(知識發現)。本書專注於大數據集技術的可行性、有用性、有效性和可擴展性。在描述資料探勘之後,作者解釋了了解、預處理、處理和數據倉儲的方法。接著,他們介紹了數據倉儲、在線分析處理(OLAP)和數據立方體技術的信息。然後,描述了挖掘大數據集中的頻繁模式、關聯和相關性的方法。

本書詳細介紹了數據分類的方法,並介紹了數據聚類的概念和方法。其餘章節討論了異常值檢測以及資料探勘中的趨勢、應用和研究前沿。來自計算機科學學生、應用開發者、商業專業人士和尋求資料探勘信息的研究人員將會發現這本資源非常有幫助。