.png){kind=icon}
返回
Recent progress and trends in predictive visual analytics
.png){kind=icon}
PRE
AI
DOI：10.1007/s11704-016-6028-y.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A wide variety of predictive analytics techniques have been developed in statistics, machine learning and data mining; however, many of these algorithms take a black-box approach in which data is input and future predictions are output with no insight into what goes on during the process. Unfortunately, such a closed system approach often leaves little room for injecting domain expertise and can result in frustration from analysts when results seem spurious or confusing. In order to allow for more human-centric approaches, the visualization community has begun developing methods to enable users to incorporate expert knowledge into the prediction process at all stages, including data cleaning, feature selection, model building and model validation. This paper surveys current progress and trends in predictive visual analytics, identifies the common framework in which predictive visual analytics systems operate, and develops a summarization of the predictive analytics workflow.
Keyword:
predictive visual analytics
visualization
visual analytics
data mining
predictive analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.6
论文数:
1.6K
被引数:
2.8K
机构
引用论文
分享收藏EFFECT OF INTERMITTENT COMPRESSION OF THE ARMS ON DEEP VENOUS THROMBOSIS IN THE LEGS.png)
The Lancet
The LancetIF0
PREAI
分享收藏Robust Course Keeping Control of a Fully Submerged Hydrofoil Vessel with Actuator Dynamics: A Singular Perturbation Approach基于奇异摄动方法的考虑执行器动力学的全潜式水翼船鲁棒航向保持控制
OAAI
OAAI分享收藏分享收藏Autoregulated expression of the gene coding for the leucine-responsive protein, Lrp, a global regulator in Salmonella enterica serovar TyphimuriumMicrobiology
OAAI
MicrobiologyIF0
OAAI分享收藏
查看更多内容