Visual Data Mining: The VisMiner Approach, 2/e (Hardcover)
暫譯: 視覺數據挖掘:VisMiner 方法,第二版 (精裝本)

Russell K. Anderson

  • 出版商: Wiley
  • 出版日期: 2012-12-17
  • 定價: $2,560
  • 售價: 9.5$2,432
  • 語言: 英文
  • 頁數: 208
  • 裝訂: Hardcover
  • ISBN: 1119967546
  • ISBN-13: 9781119967545
  • 相關分類: Data-mining
  • 立即出貨 (庫存=1)

商品描述

 

A visual approach to data mining. 

Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. 

This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling the reader to see the data that they are working on and to visually evaluate the models created from the data. 

Key features:

  • Presents visual support for all phases of data mining including dataset preparation.
  • Provides a comprehensive set of non-trivial datasets and problems with accompanying software.
  • Features 3-D visualizations of multi-dimensional datasets.
  • Gives support for spatial data analysis with GIS like features.
  • Describes data mining algorithms with guidance on when and how to use.
  • Accompanied by VisMiner, a visual software tool for data mining, developed specifically to bridge the gap between theory and practice.

Visual Data Mining: The VisMiner Approach is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. This book provides a set of tutorials, exercises, and case studies that support students in learning data mining processes.

In praise of the VisMiner approach: 

“What we discovered among students was that the visualization concepts and tools brought the analysis alive in a way that was broadly understood and could be used to make sound decisions with greater certainty about the outcomes”—Dr. James V. Hansen, J. Owen Cherrington Professor, Marriott School, Brigham Young University, USA

“Students learn best when they are able to visualize relationships between data and results during the data mining process. VisMiner is easy to learn and yet offers great visualization capabilities throughout the data mining process. My students liked it very much and so did I.” —Dr. Douglas Dean, Assoc. Professor of Information Systems, Marriott School, Brigham Young University, USA

商品描述(中文翻譯)

視覺化數據挖掘方法。

數據挖掘被定義為在大型數據集中尋找有用且先前未知的模式,但在面對挖掘大型數據集的任務時,並不總是明確從何開始以及如何進行。

本書介紹了一種視覺化的方法論,用於數據挖掘,展示了該方法論的應用以及使用 VisMiner 的一系列練習。VisMiner 是由作者開發的,提供了一個強大的視覺數據挖掘工具,使讀者能夠看到他們正在處理的數據,並視覺化評估從數據中創建的模型。

主要特點:
- 提供數據挖掘所有階段的視覺支持,包括數據集準備。
- 提供一套全面的非平凡數據集和問題,並附有相應的軟體。
- 特徵包括多維數據集的 3-D 視覺化。
- 提供支持空間數據分析的 GIS 類功能。
- 描述數據挖掘算法,並指導何時及如何使用。
- 附有 VisMiner,一個專門為填補理論與實踐之間的差距而開發的視覺數據挖掘軟體工具。

視覺數據挖掘:VisMiner 方法 被設計為一本實作手冊,旨在向數據挖掘、高級統計和商業智慧課程的學生介紹這些方法論。本書提供了一系列教程、練習和案例研究,支持學生學習數據挖掘過程。

對 VisMiner 方法的讚譽:

“我們在學生中發現,視覺化概念和工具使分析變得生動,這種方式被廣泛理解,並能用來更有信心地做出明智的決策。”—美國楊百翰大學 Marriott 學院 J. Owen Cherrington 教授 Dr. James V. Hansen

“學生在數據挖掘過程中能夠視覺化數據與結果之間的關係時學習效果最佳。VisMiner 容易學習,並在整個數據挖掘過程中提供了出色的視覺化能力。我的學生非常喜歡它,我也一樣。”—美國楊百翰大學 Marriott 學院資訊系統副教授 Dr. Douglas Dean