Research on Big Data Ad Hoc Queries Technology Based on Social Network Information Cognitive Model

被引：0

作者：

Wu, Yang-bo ^{[1
]}

Zhou, Xi-liu ^{[1
]}

Xu, Ying ^{[1
]}

Wan, Ming-xiu ^{[1
]}

Ying, Lin ^{[2
]}

机构：

[1] Xinyu Univ, Coll Math & Comp, Xinyu 338000, Peoples R China

[2] Xinyu Univ, Coll Foreign Languages, Xinyu 338000, Peoples R China

来源：

ADVANCED HYBRID INFORMATION PROCESSING, PT II | 2022年 / 417卷

关键词：

Social network information cognitive model; Ad hoc query; Big data;

D O I：

10.1007/978-3-030-94554-1_16

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In order to improve the efficiency of big data ad hoc query, a big data ad hoc query technology based on social network information cognitive model is designed. Firstly, the hierarchical structure of data query is established, then the dimension measurement and query conditions are determined, and the result analysis function is proposed. On this basis, the linkage update model of distributed multi database information resources is constructed, and finally the query data is clustered and stored, so as to realize on-the-spot big data query. The experimental results show that the research of big data ad hoc query technology effectively improves the query efficiency, and improves the accuracy of data query.

引用

页码：183 / 195

页数：13

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