数据探索:所有用户数据交互功能的一个点名

Anna Gogolou, Marialena Kyriakidi, Y. Ioannidis
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引用次数: 2

摘要

数据探索包含各种交互类型和数据功能,如搜索、数据分析、管理、约束满足、数据挖掘和可视化。当用户获得一组数据时,数据探索自然就开始了,当用户提取数据中隐藏的所有信息和知识时,数据探索就结束了。虽然已经开发了大量的系统来处理不同的数据探索方面,但没有一个框架专门用于它作为一个整体。在本文中,我们声称“任何”用户-数据交互对于数据探索都是必不可少的,并绘制了一个具有自动化和用户诱导功能的原型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data exploration: a roll call of all user-data interaction functionality
Data exploration encompasses a variety of interaction types and data functionality, such as search, data analysis, curation, constraint satisfaction, data mining, and visualization. Data exploration naturally begins when a user is given a set of data and ends when the user extracts all information and knowledge hidden in the data. Although a plethora of systems have been developed to tackle different data exploration aspects, there is no framework devoted to it as a whole. In this paper, we claim that "any" user-data interaction is essential for data exploration and sketch a prototype with both automated and user-induced functionality.
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