大數(shù)據(jù)智能分析

定　價：￥78.00

作　者：	趙燕清，朱世偉，于俊鳳
出版社：	科學技術文獻出版社
叢編項：
標　簽：	暫缺

ISBN：	9787523503188	出版時間：	2023-05-01	包裝：	平裝
開本：	16開	頁數(shù)：	72	字數(shù)：

內(nèi)容簡介

　　該專著致力于研究現(xiàn)代分析系統(tǒng) （AS）中知識的概念、處理和有效利用問題。研究了此類系統(tǒng)在數(shù)據(jù)-信息-知識范式中的功能特征，涵蓋了所有階段——從處理原始數(shù)據(jù)、提取和分析知識，及其在決策過程中的使用?；趯σ阎闹R表示模型及其處理方法的綜合分析，表明構建現(xiàn)代分析系統(tǒng) 可接受的方法是語義建模，它側(cè)重于數(shù)據(jù)的語義方面、它們的關聯(lián)關系和數(shù)據(jù)的公開、隱藏的依賴。不僅研究了構建現(xiàn)代分析系統(tǒng)的理論方面，還介紹了廣泛的流程和知識管理技術，從確定知識在現(xiàn)代分析系統(tǒng)中的作用和位置，到現(xiàn)代技術使用的實際建議和示例為結(jié)束，包括用于不同學科領域的網(wǎng)絡。

作者簡介

　　山東省科學院情報研究所始建于1983年9月，是山東省重要的情報研究服務機構之一。經(jīng)過20年的發(fā)展，研究所已經(jīng)形成了構筑在科技網(wǎng)絡及豐富的科技信息資源基礎上的，面向社會提供科技信息分析研究、科技查新評估、科技人才培訓、科研開發(fā)、科技宣傳報導等各類科技咨詢服務的情報研究服務平臺。建所以來，共完成院級以上科研、開發(fā)課題40余項，有多項成果獲得重大獎勵。

圖書目錄

\"目　錄
1　大數(shù)據(jù)技術 ············································································1
大數(shù)據(jù)技術人員 ·······································································1
大數(shù)據(jù)技術 ·············································································6
2　互聯(lián)網(wǎng)資源作為大數(shù)據(jù) ··························································15
大數(shù)據(jù)來源 ············································································15
數(shù)據(jù)收集 ···············································································20
生成JSON文件 ·······································································23
RSS轉(zhuǎn)換為JSON程序示例 ························································27
3　技術棧Elastic ·······································································30
Logstash ·················································································30
Kibana ···················································································30
Elastic Cloud ···········································································31
4　Elasticsearch系統(tǒng) ································································32
安裝Elasticsearch ·····································································34
加載Elasticsearch數(shù)據(jù)庫 ···························································35
CRUD操作 ············································································39
對Elasticsearch的查詢 ······························································39
5　 Kibana系統(tǒng)與Elasticsearch系統(tǒng)的連接 ·······························43
安裝Kibana系統(tǒng) ·····································································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　數(shù)據(jù)集 ··················································································50
如何查詢集 ············································································50
按需發(fā)布的趨勢 ······································································51
將數(shù)據(jù)轉(zhuǎn)換為CSV格式 ····························································53
用Excel表格處理數(shù)據(jù) ······························································55
在WinPython環(huán)境中運行 ··························································56
時間序列校平 ·········································································57
小波分析項 ············································································62
7　網(wǎng)絡數(shù)據(jù)的分析與可視化 ······················································66
介質(zhì) ·····················································································66
網(wǎng)絡參數(shù) ···············································································66
全局效率系數(shù) ·········································································68
聚類系數(shù) ···············································································68
模塊化 ··················································································69
網(wǎng)絡現(xiàn)象 ···············································································69
隨機埃爾多斯-任易網(wǎng)絡模型 ····················································72
Barabashi-Albert隨機網(wǎng)絡模型 ···················································72
網(wǎng)絡節(jié)點排名 ·········································································73
檢索文件數(shù)組 ·········································································74
形成詞典 ···············································································75
選擇加權詞 ············································································77
概念鄰接矩陣的形成 ································································79
8　網(wǎng)絡數(shù)據(jù)可視化：GEPHI系統(tǒng) ··············································83
輔助選項卡窗口 ······································································85
篩選選項卡 ············································································85
“統(tǒng)計”選項卡 ········································································86
“堆疊”選項卡 ········································································86
通過“圖”界面創(chuàng)建圖 ·····························································87
測試圖布局 ············································································96
LES Miserables圖的堆疊 ···························································97
排序和統(tǒng)計 ··········································································100
網(wǎng)絡過濾 ·············································································102
9　圖形數(shù)據(jù)庫管理系統(tǒng)Neo4j ·················································104
安裝Neo4j ···········································································106
啟動系統(tǒng) ·············································································108
Cypher語言 ··········································································110
將數(shù)據(jù)從CSV導入Neo4j圖 ····················································114
10　 NoSQL類型的數(shù)據(jù)庫管理系統(tǒng) ——MongoDB 數(shù)據(jù)庫管理系統(tǒng) ··································116
服務器和普通客戶端安裝 ························································118
一些普通客戶端命令 ······························································118
以外部格式從表導入數(shù)據(jù)庫 ·····················································121
MongoDB數(shù)據(jù)庫Compass客戶端 ·············································122
以外部格式將數(shù)據(jù)庫導出到表 ··················································123
運行GUI MongoDB Compass ····················································124
執(zhí)行CRUD命令 ····································································125
內(nèi)容索引 ··················································································129
參考文