Data Mining: Theories, Algorithms, and Examples (Hardcover)

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)

買這商品的人也買了...

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的數據。然而,我們從這些數據中發現有用的信息和知識的速度遠遠落後於我們收集數據的速度。《數據挖掘:理論、算法和示例》介紹和解釋了來自各種數據挖掘領域的一套全面的數據挖掘算法。該書回顧了數據挖掘算法的理論基礎和程序細節,包括那些在文獻中常見且具有相當困難的算法,並使用小數據示例來解釋和演示這些算法。

該書涵蓋了各種數據挖掘算法,包括那些在數據挖掘文獻中常見且由於其相當困難而在大多數現有文獻中未完全涵蓋的算法。該書提供了支持數據挖掘算法的軟件包列表,以及引用的數據挖掘算法應用和練習,還有解答手冊和講義的PowerPoint幻燈片。

作者采用實用的方法來處理數據挖掘算法,以便能夠充分解釋生成的數據模式。這種方法使學生能夠理解數據挖掘算法的理論和操作方面,並手動執行這些算法,從而深入理解它們生成的數據模式。