scholarly journals Exploring Big Data Environment for Conversation Data Analysis and Mining on Microblogs

2015 ◽  
pp. 335-346
Author(s):  
Rami Belkaroui ◽  
Dhouha Jemal ◽  
Rim Faiz
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Environment

scholarly journals Information Visualization from the Perspective of Big Data Analysis and Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiang Lin
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Visualization ◽  
Big Data Analysis ◽  
Experimental Results ◽  
Data Sources ◽  
Visualization Technique ◽  
Data Volume ◽  
Data Environment ◽  
Information Association

In the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. The previous research into the information association of L&I visualization network rarely tries to construct such a network or explore the information association of the network. To overcome these defects, this paper explores the visualization of L&I from the perspective of big data analysis and fusion. Firstly, the authors analyzed the topology of the L&I visualization network and calculated the metrics for the construction of L&I visualization topology map. Next, the importance of meta-paths of the L&I visualization network was calculated. Finally, a complex big data L&I visualization network was established, and the associations between information nodes were analyzed in detail. Experimental results verify the effectiveness of the proposed algorithm.

scholarly journals Information Visualization from the Perspective of Big Data Analysis and Fusion

2021 ◽  
Vol 20 ◽  
pp. 352-361
Author(s):  
Xiang Lin
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Visualization ◽  
Information Fusion ◽  
Big Data Analysis ◽  
Data Sources ◽  
Visualization Technique ◽  
Network Layout ◽  
Data Volume ◽  
Data Environment

In the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. However, there are several defects with the research on information association of L&I visualization network: the lack of optimization of network layout algorithms, and the absence of L&I information fusion and comparison in multiple disciplines, in the big data environment. To overcome these defects, this paper explores the visualization of L&I from the perspective of big data analysis and fusion. Firstly, the authors analyzed the topology of the L&I visualization network, and calculated the metrics for the construction of L&I visualization topology map. Next, the importance of meta-paths of the L&I visualization network was calculated. Finally, a complex big data L&I visualization network was established, and the associations between information nodes were analyzed in details. Experimental results verify the effectiveness of the proposed algorithm

scholarly journals 5G-Oriented IoT Big Data Analysis Method System

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Lei Hu ◽  
Xianling Xia
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Collection ◽  
Internet Of Things ◽  
Big Data Analysis ◽  
System Model ◽  
Analysis Method ◽  
Data Environment ◽  
Internet Of Things Technology ◽  
And Storage

The application degree and application scope of 5G Internet of Things technology and big data analysis technology are becoming wider and wider, bringing opportunities for the development of traditional enterprises and providing technological innovation support for the development of new enterprises. Based on 5G Internet of Things technology and big data technology, this paper designs and studies an intelligent agricultural monitoring platform. We collect crop growth data and monitor crop growth status through this platform to study the 5G-oriented IoT big data analysis method system. This paper studies the data collection and storage issues involved in the huge agricultural IoT data environment. This article analyzes the specific sources of agricultural big data, the specific methods of data collection, and the methods of various database storage technologies. Combining wireless sensor network technology, large-source data processing technology, and distributed data storage technology, a method is proposed to solve the problem of rural Internet data collection and storage in the big data environment. This paper proposes a spatiotemporal block processing TSBPS to store the first detection data. The method uses spatiotemporal preblocking, data compression, and caching to significantly improve the recording speed of near real-time storage and microdetection data. In the experimental part of this article, experiments are carried out on the key parts of the IOT-HSQM system model that may limit storage or query performance. Experimental results show that this article compares TSBPS and direct writing methods. The maximum write speed increased by 79%, and the average write speed increased by 42%. The IOT-HSQM system model can meet the requirements of compiling and query performance and statistical analysis.

Analysis of the Construction of the Library Information Resources from the Perspective of Big Data

2014 ◽  
Vol 631-632 ◽  
pp. 1067-1070
Author(s):  
Yang Li
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Information Resources ◽  
Resources Allocation ◽  
Allocation Scheme ◽  
Resource Configuration ◽  
Assessment Indicator ◽  
New Development ◽  
Data Environment ◽  
The Impact

The advent of big data era brings new development and opportunities for the construction of library information resources. This paper analyzes the impact of big data on the library at home and abroad, and points out the necessary new reform of construction of library information resources in colleges and universities from the perspective of information resource configuration. Under the big data environment, library should develop the data analysis service of big data information resources, establish the literature resources allocation scheme with circulation data as the assessment indicator and develop towards intelligent library.

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