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Designing Discovery Experience for Big Data Interaction: A Case of Web-Based Knowledge Mining and Interactive Visualization Platform

机译:设计大数据交互的发现经验:基于Web的知识挖掘和交互式可视化平台的情况

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The exponentially growing data in every aspect of human lives is offering both opportunities to gain unprecedented insights and challenges for designing efficient discovery experiences. To respond to the challenge of dealing with big data, our work is designing a web-based, knowledge mining and interactive visualization platform that allows users to interactively synthesize, mine, and visualize large-scale data. In this paper, we extend the classic information retrieval concept of information seeking to more general insight discovery behavior. Our approach is to focus on user's insight discovery workflow rather than data per se. User interviews were conducted to extract workflows and specific requirements to inform and direct design decisions.
机译:人类生命的各个方面的指数增长的数据都提供了为设计有效的发现经验而获得前所未有的洞察力和挑战的机会。 为了应对处理大数据的挑战,我们的作品正在设计一个基于Web的知识挖掘和交互式可视化平台,允许用户交互方式,挖掘,和可视化大规模数据。 在本文中,我们扩展了寻求更全面的洞察发现行为的信息的经典信息检索概念。 我们的方法是专注于用户的Insight发现工作流程,而不是数据本身。 进行用户面试,以提取工作流程和特定要求,以通知和直接设计决策。

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