Analytic Provenance Datasets

Analytic Provenance Datasets是由德州农工大学计算机科学与工程系创建的数据集，旨在研究人类分析活动、思维过程以及与可视分析工具的交互。数据集包含从用户研究中收集的交互日志、思考录音、视频和编码数据，适用于研究分析历史和交互日志的工具和技术。数据集来源于两种分析场景：文本智能分析和多维网络安全分析，通过高质量的编码数据和交互日志，可以比较算法数据处理技术与分析历史的实际记录。

Analytic Provenance Datasets is a dataset developed by the Department of Computer Science and Engineering at Texas A&M University, designed to investigate human analytical activities, cognitive processes, and interactions with visual analytics tools. It includes interaction logs, think-aloud recordings, videos, and coded data collected from user studies, and is applicable to researching tools and techniques focused on analytical histories and interaction logs. It is sourced from two analytical scenarios: intelligent text analysis and multi-dimensional cybersecurity analysis. With high-quality coded data and interaction logs, comparative analyses can be conducted between algorithmic data processing technologies and the actual records of analytical provenance.