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Research and Application of Event Finding based on massive Internet Imagine Tag

机译:基于大规模Internet Imagine Tag的事件发现的研究与应用

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System mainly studies mass events found images from the Internet, this paper focuses on the data label document Flickr to quantify. This paper also implements single-pass clustering algorithm using traditional text clustering. In this paper, achieve three strategies of single-pass clustering algorithm, and analyze and compare the three strategies. Different document order in the event of the discovery process requires traditional events found single-pass clustering algorithm. This paper implements a hot event with a buffer to find a way.
机译:系统主要研究从互联网上发现的大规模事件图像,本文着重对数据标签文件Flickr进行量化。本文还使用传统的文本聚类来实现单遍聚类算法。本文实现了单遍聚类算法的三种策略,并对三种策略进行了分析和比较。在发现过程中发生事件的文档顺序不同,需要传统事件发现的单遍聚类算法。本文实现了带有缓冲区的热点事件,以找到一种方法。

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