Data Mining: A Tutorial-Based Primer, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
暫譯: 資料探勘：基於教程的入門指南（第二版）（Chapman & Hall/CRC 資料探勘與知識發現系列）

Richard J. Roiger

Data Mining: A Tutorial-Based Primer, Second Edition (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
  • 出版商: Chapman
  • 出版日期: 2016-12-01
  • 售價: $1,400
  • 貴賓價: 9.5 折 $1,330
  • 語言: 英文
  • 頁數: 529
  • 裝訂: Paperback
  • ISBN: 1498763979
  • ISBN-13: 9781498763974
  • 相關分類: Data-mining

    • 立即出貨(限量) (庫存=3)

買這商品的人也買了...

相關主題

商品描述

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, as well as on interpreting and validating results. The text guides students to understand how data mining can be employed to solve real problems and recognize whether a data mining solution is a feasible alternative for a specific problem. Fundamental data mining strategies, techniques, and evaluation methods are presented and implemented with the help of two well-known software tools.

 Several new topics have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for handling large-sized, streaming and imbalanced data, support vector machines, and extended coverage of textual data mining. The second edition contains tutorials for attribute selection, dealing with imbalanced data, outlier analysis, time series analysis, mining textual data, and more.

 The text provides in-depth coverage of RapidMiner Studio and Weka’s Explorer interface. Both software tools are used for stepping students through the tutorials depicting the knowledge discovery process. This allows the reader maximum flexibility for their hands-on data mining experience.

商品描述(中文翻譯)

《資料探勘：基於教程的入門書（第二版）》提供了資料探勘的全面介紹，重點在於模型建立與測試，以及結果的解釋與驗證。該書指導學生理解如何利用資料探勘來解決實際問題，並辨識資料探勘解決方案是否為特定問題的可行替代方案。書中介紹並實作了基本的資料探勘策略、技術和評估方法，並使用兩個知名的軟體工具進行輔助。

第二版新增了幾個主題，包括大數據和資料分析的介紹、ROC曲線、Pareto提升圖、處理大型、串流和不平衡資料的方法、支持向量機，以及擴展的文本資料探勘內容。第二版包含了屬性選擇、不平衡資料處理、異常值分析、時間序列分析、文本資料探勘等的教程。

該書深入介紹了RapidMiner Studio和Weka的Explorer介面。這兩個軟體工具用於引導學生完成描繪知識發現過程的教程，讓讀者在實作資料探勘時擁有最大的靈活性。

目錄大綱

Section I Data Mining Fundamentals
 1. Data Mining: A First View
 2. Data Mining: A Closer Look
 3. Basic Data Mining Techniques

Section II Tools for Knowledge Discovery
 4. Weka—An Environment for Knowledge Discovery
 5. Knowledge Discovery with RapidMiner
 6. The Knowledge Discovery Process
 7. Formal Evaluation Techniques

Section III Building Neural Networks
 8. Neural Networks
 9. Building Neural Networks with Weka
 10. Building Neural Networks with RapidMiner

Section IV Advanced Data Mining Techniques
 11. Supervised Statistical Techniques
 12. Unsupervised Clustering Techniques
 13. Specialized Techniques
 14. The Data Warehouse

目錄大綱(中文翻譯)

Section I Data Mining Fundamentals

 1. Data Mining: A First View

 2. Data Mining: A Closer Look

 3. Basic Data Mining Techniques

Section II Tools for Knowledge Discovery

 4. Weka—An Environment for Knowledge Discovery

 5. Knowledge Discovery with RapidMiner

 6. The Knowledge Discovery Process

 7. Formal Evaluation Techniques

Section III Building Neural Networks

 8. Neural Networks

 9. Building Neural Networks with Weka

 10. Building Neural Networks with RapidMiner

Section IV Advanced Data Mining Techniques

 11. Supervised Statistical Techniques

 12. Unsupervised Clustering Techniques

 13. Specialized Techniques

 14. The Data Warehouse

類似商品