大数据分析基础 pdf下载

基本信息

• 商品名称：大数据分析基础(概念技术方法和商务)(英文版)
• 作者：编者:李刚民
• 定价：219
• 出版社：科学
• 书号：9787030581488

其他参考信息（以实物为准）

• 出版时间：2018-01-01
• 印刷时间：2018-01-01
• 版次：1
• 印次：1
• 开本：16开
• 包装：平装
• 页数：632

内容提要

无

目录

Part One Basics and Concepts
Chapter 1 Introduction
1.1 What Is Big Data Analytics?
1.1.1 Big Data Analytics Requires Data-Driven Business Culture
1.1.2 Big Data Analytics Requires High-Performance Analyses
1.2 Why Big Data Analytics?
1.2.1 History and Evolution of Big Data Analytics
1.2.2 The Drivers of Big Data Analytics
1.2.3 Why Is Big Data Analytics Important?
1.2.4 The Challenges of Big Data Analytics
1.2.5 How Big Data Analytics Is Used Today?
1.3 Big Data Analytics Applications
1.3.1 Industries Where Big Data Analytics Are Successful
1.3.2 Four Powerful Big Data Analytics Application Examples
1.4 The Big Data Analytics Market
1.5 Big Data Analytics Future Trends
1.5.1 Predictive Analytics Will Dominate
1.5.2 Refocusing on the Human Decision-Making
1.5.3 Market Segmentation in Data Analysis Platforms
1.5.4 Open Source Software Tools
1.5.5 Plug-in AI Technologies
1.6 The Contents of Big Data Analytics
1.7 References
1.8 Review Questions and Exercises
Chapter 2 Data and Big Data
2.1 Data as a Basic Entity in the DIKW Framework
2.1.1 DIKW Framework
2.1.2 Data Object, Data Attribute and Data Set
2.1.3 Data Attribute Types
2.2 Big Data
2.2.1 Big Data Definition
2.2.2 Big Data Types
2.3 Quality of Data and Big Data
2.3.1 Definition of Data Quality
2.3.2 Data Measurement and Data Collection
2.3.3 Errors in Measurement and Collection
2.3.4 Data Accuracy
2.4 Basic Measurement of Dataset
2.5 Summary
2.6 References
2.7 Review Questions
Chapter 3 Big Data Analytics Process
3.1 The Process of Data Mining and Knowledge Discovery
3.1.1 CRISP-DM Framework
3.1.2 KDD Process
3.2 Process of Big Data Analytics
3.2.1 Acquisition
3.2.2 Understanding
3.2.3 Preprocess
3.2.4 Analysis