大数据平台聚类分析系统的设计与实现
Design and Implementation of Cluster Analysis System for Big Data Platform
孙雪峰1
作者信息
- 1. 首都经济贸易大学密云分校,北京 101500
- 折叠
摘要
互联网领域蕴含着海量的数据信息,且这些信息呈现出多样性以及复杂性,总体而言,可以大致将这些数据划分成用户行为数据和内容数据,科学精细地分析处理这些数据,是强化用户分群治理效率、内容分类研究以及实现精细化运营的重要手段.但现阶段尚无一站式的大数据聚类分析系统可供人们使用,因此,文章详细分析和阐述了基于大数据平台的聚类分析系统设计与实现,以此为相关工作人员提供参考.
Abstract
The internet field contains a vast amount of data information,which presents diversity and complexity.Overall,this data can be roughly divided into user behavior data and content data,and scientifically and meticulously analyzed and processed.It is an important means to strengthen the efficiency of user group governance,research on content classification,and achieve refined operations.However,at present,there is no one-stop big data clustering analysis system available for the public to use.Therefore,this article conducts research on this topic,analyzes and elaborates in detail on the design and implementation of clustering analysis systems based on big data platforms,in order to provide reference for relevant staff.
关键词
大数据/聚类分析/系统设计/系统实现Key words
big data/cluster analysis/system design/system implementation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据