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Statistical Package for the Social Sciences (SPSS)01:22

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The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
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基于数据挖掘的推系统,使用社交网络进行分析研究.

Sahar Ajmal1, Muhammad Awais1, Khaldoon S Khurshid1

  • 1Department of Computer Science, University of Engineering and Technology, Lahore, Punjab, Pakistan.

PeerJ. Computer science
|June 22, 2023
PubMed
概括
此摘要是机器生成的。

本次系统文献综述分析了42项关于使用社交网络进行数据挖掘的基于推系统的研究. 结合算法的混合模型显示出增强社交媒体推的前景.

关键词:
协作过是一种合作过.基于内容的过.数据挖掘是一种数据挖掘.推系统是推系统.社交媒体 社交媒体

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科学领域:

  • 数据科学数据科学数据科学
  • 计算机科学 计算机科学
  • 信息系统信息系统信息系统

背景情况:

  • 社交媒体产生了大量的数据,这给存储和处理带来了挑战.
  • 有效的数据存储和处理对于有效的社交媒体建议至关重要.
  • 数据挖掘技术对于开发强大的推系统至关重要.

研究的目的:

  • 从2011年到2021年,系统地审查和分析使用社交网络 (DRSN) 的数据挖掘基础推系统的研究.
  • 识别出版场所,地理分布和方法的趋势.
  • 突出局限性,并建议未来的研究方向,以加强DRSN.

主要方法:

  • 一个系统的文献综述 (SLR) 遵循基奇纳姆的方法.
  • 基于预定义的研究问题,分析了42项选定的研究.
  • 检查出版物细节,方法,数据集和评估指标.

主要成果:

  • 大多数出版物 (21%) 是在2018年,中国领先 (40%) 的贡献.
  • IEEE是占主导地位的出版地点 (61%).
  • 协作过 (21%) 和Twitter数据集 (19%) 经常被使用,精度和回忆作为关键指标 (28%).

结论:

  • 目前的DRSN研究存在局限性,表明需要更复杂的方法.
  • 综合多种算法的混合模型被推用于改进社交媒体建议.
  • 未来的研究应该专注于开发和评估混合模型,以增强用户体验.