Data Mining: Theories, Algorithms, and Examples (Hardcover)
暫譯: 資料探勘:理論、演算法與範例 (精裝版)

Nong Ye

  • 出版商: CRC
  • 出版日期: 2013-07-26
  • 售價: $3,690
  • 貴賓價: 9.5$3,506
  • 語言: 英文
  • 頁數: 349
  • 裝訂: Hardcover
  • ISBN: 1439808384
  • ISBN-13: 9781439808382
  • 相關分類: Algorithms-data-structuresData-mining
  • 立即出貨 (庫存 < 3)

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商品描述

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms.

The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures.

The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them.

商品描述(中文翻譯)

新技術使我們能夠在許多領域收集大量數據。然而,我們從這些數據中發現有用信息和知識的速度遠遠落後於收集數據的速度。《資料探勘:理論、演算法與範例》介紹並解釋了一套全面的資料探勘演算法,涵蓋各種資料探勘領域。這本書回顧了資料探勘演算法的理論依據和程序細節,包括文獻中常見的演算法以及那些具有相當難度的演算法,並使用小型數據範例來解釋和逐步演示這些演算法。

本書涵蓋了廣泛的資料探勘演算法,包括文獻中常見的演算法以及由於其相當難度而在現有文獻中未充分涵蓋的演算法。書中列出了支持資料探勘演算法的軟體包、資料探勘演算法的應用參考,以及練習題,並附有解答手冊和講座的PowerPoint簡報。

作者採取實用的方法來處理資料探勘演算法,以便能夠充分解釋所產生的數據模式。這種方法使學生能夠理解資料探勘演算法的理論和操作方面,並手動執行這些演算法,以深入理解它們所產生的數據模式。