大数据智能分析
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作者编者:赵燕清//朱世伟//于俊凤|责编:孙江莉
出版社科技文献
ISBN9787523503188
出版时间2023-05
装帧其他
开本其他
定价78元
货号1203123640
上书时间2024-06-12
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作者简介
山东省科学院情报研究所始建于1983年9月，是山东省重要的情报研究服务机构之一。经过20年的发展，研究所已经形成了构筑在科技网络及丰富的科技信息资源基础上的，面向社会提供科技信息分析研究、科技查新评估、科技人才培训、科研开发、科技宣传报导等各类科技咨询服务的情报研究服务平台。建所以来，共完成院级以上科研、开发课题40余项，有多项成果获得重大奖励。
目录
\"目 录
1 大数据技术 ············································································1
大数据技术人员 ·······································································1
大数据技术 ·············································································6
2 互联网资源作为大数据 ··························································15
大数据来源 ············································································15
数据收集 ···············································································20
生成JSON文件 ·······································································23
RSS转换为JSON程序示例 ························································27
3 技术栈Elastic ·······································································30
Logstash ·················································································30
Kibana ···················································································30
Elastic Cloud ···········································································31
4 Elasticsearch系统 ································································32
安装Elasticsearch ·····································································34
加载Elasticsearch数据库 ···························································35
CRUD操作 ············································································39
对Elasticsearch的查询 ······························································39
5 Kibana系统与Elasticsearch系统的连接 ·······························43
安装Kibana系统 ·····································································43
使用Console工具工作 ······························································44
使用Discover工具工作 ·····························································46
使用Visualizations工具工作 ·······················································48
6 数据集 ··················································································50
如何查询集 ············································································50
按需发布的趋势 ······································································51
将数据转换为CSV格式 ····························································53
用Excel表格处理数据 ······························································55
在WinPython环境中运行 ··························································56
时间序列校平 ·········································································57
小波分析项 ············································································62
7 网络数据的分析与可视化 ······················································66
介质 ·····················································································66
网络参数 ···············································································66
全局效率系数 ·········································································68
聚类系数 ···············································································68
模块化 ··················································································69
网络现象 ···············································································69
随机埃尔多斯-任易网络模型 ····················································72
Barabashi-Albert随机网络模型 ···················································72
网络节点排名 ·········································································73
检索文件数组 ·········································································74
形成词典 ···············································································75
选择加权词 ············································································77
概念邻接矩阵的形成 ································································79
8 网络数据可视化：GEPHI系统 ··············································83
辅助选项卡窗口 ······································································85
筛选选项卡 ············································································85
“统计”选项卡 ········································································86
“堆叠”选项卡 ········································································86
通过“图”界面创建图 ·····························································87
测试图布局 ············································································96
LES Miserables图的堆叠 ···························································97
排序和统计 ··········································································100
网络过滤 ·············································································102
9 图形数据库管理系统Neo4j ·················································104
安装Neo4j ···········································································106
启动系统 ·············································································108
Cypher语言 ··········································································110
将数据从CSV导入Neo4j图 ····················································114
10 NoSQL类型的数据库管理系统 ——MongoDB 数据库管理系统 ··································116
服务器和普通客户端安装 ························································118
一些普通客户端命令 ······························································118
以外部格式从表导入数据库 ·····················································121
MongoDB数据库Compass客户端 ·············································122
以外部格式将数据库导出到表 ··················································123
运行GUI MongoDB Compass ····················································124
执行CRUD命令 ····································································125
内容索引 ··················································································129
参考文
内容摘要
该专著致力于研究现代分析系统 (AS)中知识的概念、处理和有效利用问题。研究了此类系统在数据-信息-知识范式中的功能特征，涵盖了所有阶段——从处理原始数据、提取和分析知识，及其在决策过程中的使用。基于对已知的知识表示模型及其处理方法的综合分析，表明构建现代分析系统最可接受的方法是语义建模，它侧重于数据的语义方面、它们的关联关系和数据的公开、隐藏的依赖。不仅研究了构建现代分析系统的理论方面，还介绍了广泛的流程和知识管理技术，从确定知识在现代分析系统中的作用和位置，到现代技术使用的实际建议和示例为结束，包括用于不同学科领域的网络。
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