In-situ visual exploration over big raw data

作者：

Highlights：

• Progressive and Adaptive processing for in-situ visualization and analytics.

• Visual user interactions over raw data as data-access operations.

• A main-memory index, constructed on-the-fly based on the first user interaction.

• User-driven techniques that progressively adapt index structure during exploration.

• Improvement in terms of execution time, I/O operations, and memory consumption.

摘要

•Progressive and Adaptive processing for in-situ visualization and analytics.•Visual user interactions over raw data as data-access operations.•A main-memory index, constructed on-the-fly based on the first user interaction.•User-driven techniques that progressively adapt index structure during exploration.•Improvement in terms of execution time, I/O operations, and memory consumption.

论文关键词：Visual analytics,Progressive & adaptive indexes,User-driven incremental processing,Interactive indexing,RawVis,In-situ query processing,Big data visualization

论文评审过程：Received 29 April 2019, Revised 13 March 2020, Accepted 28 July 2020, Available online 7 August 2020, Version of Record 25 August 2020.

论文官网地址：https://doi.org/10.1016/j.is.2020.101616