Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Computer Aided Information Analysis Technology Based on Data Mining and Social Network Analysis

Download as PDF

DOI: 10.23977/infkm.2025.060102 | Downloads: 31 | Views: 564

Author(s)

Yunpeng Zhao 1

Affiliation(s)

1 Treasury Department, Bank of China, New York, NY 10018, USA

Corresponding Author

Yunpeng Zhao

ABSTRACT

With the ever more rapid development of information technology, computer and network infrastructures have become an indispensable part of modern life and work. In this evolving context, the importance of computer-assisted information analysis is increasingly evident, highlighting the need for a solid framework to support its further development. This paper attempts to establish a comprehensive, multi-dimensional technological framework to improve capacity in this crucial area. The proposed framework covers core technology areas such as databases, data warehouses, online transaction processing (OLTP), business intelligence (BI), online analytical processing (OLAP) and decision support systems (ss). By combining these fundamentals with cutting-edge technologies, including data extraction, social network analysis, and massive data analysis and advanced online analytical processing, the framework aims to create a holistic system for computer-aided information analysis. The system aims not only to optimize the efficiency and effectiveness of data processing and analysis, but also to promote innovation in the way information is used for decision-making and strategic planning, contributing to the continued development and impact of all industries.

KEYWORDS

Computer aided information analysis; Technical framework; Data mining; Social network analysis; Work flow; Development trend; CAIA Technology

CITE THIS PAPER

Yunpeng Zhao, Research on Computer Aided Information Analysis Technology Based on Data Mining and Social Network Analysis. Information and Knowledge Management (2025) Vol. 6: 8-13. DOI: http://dx.doi.org/10.23977/infkm.2025.060102.

REFERENCES

[1] Bettadj F Z Y, Benchouk W. Computer-aided analysis for identification of novel analogues of ketoprofen based on molecular docking, ADMET, drug-likeness and DFT studies for the treatment of inflammation [J]. Journal of Biomolecular Structure and Dynamics, 2023, 41(19):9915-9930. DOI:10.1080/07391102.2022.2148750.
[2] Pappalardo C M, Del Giudice M, Oliva L N A. Computer-Aided Design, Multibody Dynamic Modeling, and Motion Control Analysis of a Quadcopter System for Delivery Applications [J]. Machines, 2023, 11(4). 
[3] Zhang W, Zhang Z, Xiao K. Computer-aided measurement modeling analysis of behavioral psychology with brain-computer interface analysis [C]. 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS).2021. DOI:10.1109/ICAIS50930.2021.9395764.
[4] Wang Y, Tang Y. Visual Analysis and Interactive Comparison for Heterogeneous Information Network Embedding Model [J]. Journal of Computer-Aided Design & Computer Graphics, 2021, 33(12): 1821-1829. DOI: 10.3724/SP. J.1089. 2021.19260. 
[5] Chen, H., Yang, Y., & Shao, C. Multi-task learning for data-efficient spatiotemporal modeling of tool surface progression in ultrasonic metal welding [J]. Journal of Manufacturing Systems, 2021, 58, 306-315.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.