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仅1件
作者王朝霞 著
出版社电子工业出版社
出版时间2018-01
版次1
装帧平装
上书时间2024-12-14
中国大数据专家委员会刘鹏教授联合全国上百家高校从事一线教学科研任务的教师,一起编撰高级大数据人才培养从书。本书是丛书之一,其定位是大数据挖掘技术与应用。本书系统地介绍了数据挖掘算法理论与方法、工具和应用,包括经典数据挖掘算法,大数据环境下常用数据挖掘算法的优化,大数据新常态下催生的数据分析方法(如推荐系统、链接分析与网页排序、互联网信息抽取、日志挖掘与查询分析)、工具与应用。本书适合作为相关专业本科和研究生教材。高职高专学校也可以选用部分内容开展教学。本书也很适合作为大数据分析研发人员的自学书籍。
1995年在重庆大学获得学士学位,2003年在中国人民解放军后勤工程学院获得硕士学位,2012年在清华大学获得博士学位,现于中国人民解放军陆军勤务学院任教,副教授、硕导。计算机科学与技术学科、后勤信息化学科中青年骨干。主(持)研科研项目35项,其中,主持***科研项目1项、军队(省部级)6项。发表论文40余篇,SCI收录期刊论文2篇(1作)、EI收录论文10篇(1作6篇)。出版专著3本,获国家发明专利3项。获教育部科技进步一等奖1项,多次荣获学院优秀教员荣誉称号、学院教学研究成果奖和教学质量奖。
第1 章 绪论 ··························································································································1
1.1 数据挖掘基本概念 ··································································································1
1.1.1 数据挖掘的概念 ··························································································1
1.1.2 大数据环境下的数据挖掘 ···········································································2
1.1.3 数据挖掘的特性 ··························································································3
1.1.4 数据挖掘的过程 ··························································································3
1.2 数据挖掘起源及发展历史 ······················································································4
1.3 数据挖掘常用工具 ··································································································7
1.3.1 商用工具 ······································································································7
1.3.2 开源工具 ······································································································8
1.4 数据挖掘应用场景 ································································································ 10
习题 ································································································································ 12
参考文献 ························································································································ 13
第2 章 数据预处理与相似性 ····························································································· 14
2.1 数据类型 ··············································································································· 14
2.1.1 属性与度量 ································································································ 14
2.1.2 数据集的类型 ···························································································· 15
2.2 数据预处理 ··········································································································· 16
2.2.1 数据清理 ···································································································· 16
2.2.2 数据集成 ···································································································· 18
2.2.3 数据规范化 ································································································ 19
2.2.4 数据约简 ···································································································· 20
2.2.5 数据离散化 ································································································ 22
2.3 数据的相似性 ······································································································· 23
2.3.1 数值属性的相似性度量 ············································································· 23
2.3.2 标称属性的相似性度量 ············································································· 26
2.3.3 组合异种属性的相似性度量 ····································································· 27
2.3.4 文档相似性度量 ························································································ 28
2.3.5 离散序列相似性度量 ················································································· 30
习题 ································································································································ 31
参考文献 ························································································································ 32
第3 章 分类 ························································································································ 33
3.1 分类的基本概念、分类过程及分类器性能的评估 ············································· 33
3.1.1 分类的基本概念 ························································································ 33
3.1.2 分类的过程 ································································································ 33
3.1.3 分类器性能的评估方法 ············································································· 34
3.2 决策树 ···························································
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