數據挖掘——高級大數據人才培養叢書

《數據挖掘——高級大數據人才培養叢書》是2018年1月電子工業出版社出版的圖書，作者是王朝霞 。

基本介紹

• 書名：數據挖掘——高級大數據人才培養叢書
• 作者：王朝霞
• 出版社：電子工業出版社
• 出版時間：2018年1月1日
• 頁數：348 頁
• 定價：58 元
• 開本：16 開
• 裝幀：平裝
• ISBN：9787121335310

內容簡介

中國大數據專家委員會劉鵬教授聯合全國上百家高校從事一線教學科研任務的教師，一起編撰高級大數據人才培養從書。本書是叢書之一，其定位是大數據挖掘技術與套用。本書系統地介紹了數據挖掘算法理論與方法、工具和套用，包括經典數據挖掘算法，大數據環境下常用數據挖掘算法的最佳化，大數據新常態下催生的數據分析方法（如推薦系統、連結分析與網頁排序、網際網路信息抽取、日誌挖掘與查詢分析）、工具與套用。本書適合作為相關專業本科和研究生教材。高職高專學校也可以選用部分內容開展教學。本書也很適合作為大數據分析研發人員的自學書籍。

圖書目錄

第1 章 緒論 ··························································································································1

1.1 數據挖掘基本概念 ··································································································1

1.1.1 數據挖掘的概念 ··························································································1

1.1.2 大數據環境下的數據挖掘 ···········································································2

1.1.3 數據挖掘的特性 ··························································································3

1.1.4 數據挖掘的過程 ··························································································3

1.2 數據挖掘起源及發展歷史 ······················································································4

1.3 數據挖掘常用工具 ··································································································7

1.3.1 商用工具 ······································································································7

1.3.2 開源工具 ······································································································8

1.4 數據挖掘套用場景 ································································································ 10

習題 ································································································································ 12

參考文獻 ························································································································ 13

第2 章 數據預處理與相似性 ····························································································· 14

2.1 數據類型 ··············································································································· 14

2.1.1 屬性與度量 ································································································ 14

2.1.2 數據集的類型 ···························································································· 15

2.2 數據預處理 ··········································································································· 16

2.2.1 數據清理 ···································································································· 16

2.2.2 數據集成 ···································································································· 18

2.2.3 數據規範化 ································································································ 19

2.2.4 數據約簡 ···································································································· 20

2.2.5 數據離散化 ································································································ 22

2.3 數據的相似性 ······································································································· 23

2.3.1 數值屬性的相似性度量 ············································································· 23

2.3.2 標稱屬性的相似性度量 ············································································· 26

2.3.3 組合異種屬性的相似性度量 ····································································· 27

2.3.4 文檔相似性度量 ························································································ 28

2.3.5 離散序列相似性度量 ················································································· 30

習題 ································································································································ 31

參考文獻 ························································································································ 32

第3 章 分類 ························································································································ 33

3.1 分類的基本概念、分類過程及分類器性能的評估 ············································· 33

3.1.1 分類的基本概念 ························································································ 33

3.1.2 分類的過程 ································································································ 33

3.1.3 分類器性能的評估方法 ············································································· 34

3.2 決策樹 ···························································