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Role of Pre-processing in Textual Data Fusion: Learn From the Croydon Tram Tragedy

机译:预处理在文本数据融合中的作用:向Croydon电车悲剧学习

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Tram/train derailment subject to human mistakes makes investments in an advanced control room as well as information gathering system exaggerated. A disaster in Croydon in year 2016 is recent evidence of limitation of the acquired systems to mitigate human shortcoming in disrupted circumstances. One intriguing way of resolution could be is to fuse continuous online textual data obtained from tram travelers and apply the information for early cautioning of risk discovery. This resolution conveys our consideration regarding a resource of data fusion. The focal subject of this paper is to discuss about role of pre-processing ventures in a low-level data fusion that have been distinguished as a pass to avoid time and exertion squandering amid information retrieval. Inclines in online text data pre-processing is reviewed which comes about an outline suggestion that concede traveler's responses through social media channels. The research outcome shows by a case of data fusion could go about as an impetus to railway industry to effectively partake in data exploration and information investigation.
机译:由于人为错误而导致的有轨电车/火车出轨使对高级控制室以及信息收集系统的投资过大。 2016年在克罗伊登州发生的灾难是最近的证据,显示有限的购置系统可以缓解人为干扰情况下的不足。解决的一种有趣方式是融合从电车旅行者那里获得的连续在线文本数据,并将该信息应用于风险发现的早期警告。该决议传达了我们对数据融合资源的考虑。本文的重点主题是讨论预处理企业在低级别数据融合中的作用,这些作用已被视为避免在信息检索过程中浪费时间和精力的一种通行证。对在线文本数据预处理的倾向进行了回顾,提出了一个大纲建议,该建议使旅行者可以通过社交媒体渠道做出回应。研究结果表明,通过数据融合的案例可以推动铁路行业有效参与数据探索和信息调查。

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