现代信息科技2024，Vol.8Issue(4)：66-73,78,9.DOI:10.19850/j.cnki.2096-4706.2024.04.014
基于深度强化学习的数据探索性会话自动生成
Auto-generation of Data Exploratory Sessions Based on Deep Reinforcement Learning
汪洋1
作者信息
- 1. 新疆维吾尔自治区烟草公司,新疆 乌鲁木齐 830026
- 折叠
摘要
Abstract
Exploratory Data Analysis(EDA)is a data analysis method aimed at revealing the structure,patterns,and relationships in a dataset through visualization and summary statistics.Data analysts can interactively explore unfamiliar datasets through operations and provide users with preliminary insights.Deep Reinforcement Learning(DRL)has been proven to address many difficult Artificial Intelligence challenges.One can attempts to combine the EDA and DRL,proposing a system called AEDAS.The system models EDA as a control decision problem,combining a novel DRL architecture to automatically generate the persuasive exploratory sessions and present them in the form of EDA notebooks.Experiments show that the EDA notebooks generated by the system can provide users with tangible and effective preliminary insights.关键词
探索性数据分析/深度强化学习框架/控制性问题/探索性会话/EDA笔记本Key words
exploratory data analysis/Deep Reinforcement Learning architecture/control problem/exploratory sessions/分类
信息技术与安全科学引用本文复制引用
汪洋..基于深度强化学习的数据探索性会话自动生成[J].现代信息科技,2024,8(4):66-73,78,9.
