交互式地为消费者端数据挖掘构建代理

R. Tuchinda, Craig A. Knoblock
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引用次数: 3

摘要

整合和挖掘来自不同web来源的数据可以使最终用户在做决定时获得充分的信息。阻止最终用户利用这种过程的许多限制之一是收集、集成、监视和挖掘来自不同网站的数据所需的每个步骤的复杂性。我们提出了将数据集成、监控和挖掘作为一个单一过程的想法,以智能助手的形式指导最终用户通过回答问题来指定他们的挖掘任务。这种易于使用的方法在可用操作的复杂性和易用性方面进行了权衡,能够提供对数据的有趣见解,而这些数据需要花费数天的人力从web中手动收集、组合和挖掘。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactively building agents for consumer-side data mining
Integrating and mining data from different web sources can make end-users well-informed when they make decisions. One of many limitations that bars end-users from taking advantages of such process is the complexity in each of the steps required to gather, integrate, monitor, and mine data from different websites. We present the idea of combining the data integration, monitoring, and mining as one single process in the form of an intelligent assistant that guides end-users to specify their mining tasks by just answering questions. This easy-to-use approach, which trades off complexity in terms of available operations with the ease of use, has the ability to provide interesting insight into the data that would requires days of human effort to gather, combine, and mine manually from the web.
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