A review of retrospective news event detection

2011 International Conference on Semantic Technology and Information Retrieval Pub Date : 2011-06-28 DOI:10.1109/STAIR.2011.5995790

Qusai Ramadan, M. Mohd

引用次数: 8

Abstract

Retrospective news event detection (RED) has been studied for many years in order to discover previous unidentified events. There are ongoing works done to improve RED techniques such as distance measure and clustering approaches to overcome issues such as huge dimensionality of data. This paper discusses three major sequential stages in RED (data preprocessing, data representation and data organization) and reports the limitation in each stage. Finally we present the suggested RED with respect to crimes domain.

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回顾性新闻事件检测综述

回顾性新闻事件检测(RED)的研究已有多年，其目的是发现以前未确定的事件。目前正在进行的工作是改进RED技术，如距离测量和聚类方法，以克服数据的巨大维度等问题。本文讨论了RED的三个主要顺序阶段(数据预处理、数据表示和数据组织)，并报告了每个阶段的局限性。最后，我们提出了关于犯罪领域的RED建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2011 International Conference on Semantic Technology and Information Retrieval

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