Knowledge Graphs and Big Data Processing

简介:
数据分析涉及应用算法过程来获得见解。如今,它已在许多行业中使用,以使组织和公司能够做出更好的决策,并验证或反驳现有的理论或模型。术语数据分析通常与智能,统计,推理,数据挖掘,知识发现等互换使用。本书的目标是介绍大数据处理的一些定义,方法,工具,框架和解决方案,从信息提取和知识表示的过程开始,通过知识处理和分析到可视化,意义和实际应用。本书的每一章都涉及数据处理链的一些相关方面,特别关注理解企业知识图,语义大数据架构和智能数据分析解决方案。
英文简介:
Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others.
The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications.
Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions.
- 书名
- Knowledge Graphs and Big Data Processing
- 译名
- 知识图谱与大数据处理
- 语言
- 英语
- 年份
- 2020
- 页数
- 212页
- 大小
- 11.45 MB
- 标签
- 大数据
- 下载
Knowledge Graphs and Big Data Processing.pdf
- 密码
- 65536
最后更新:2025-04-12 23:57:45