利用数据采掘和可视化技术了解事故多发区
Data Mining and Visualization to Understand Accident-prone Areas
摘要：
在这项研究中，我们提出了两个数据采掘和信息可视化技术，以确定事故多发区，最容易发生事故的时间，天，月。此外，我们在志愿者中进行了调查，以了解哪些可视化技术可以帮助非专家用户更好地理解研究结果。这项研究的结果表明，大多数事故发生在黄昏（即，下午6点到7点），以及星期五。结果还表明，大多数事故发生在10月，这是一个热门的旅游月份。这些发现与社会信息一致，可以帮助政策制定者，居民，游客和其他执法机构。这项研究可以扩展到更广泛的影响。
英文摘要：
In this study, we present both data mining and information visualization techniques to identify accident-prone areas, most accident-prone time, day, and month. Also, we surveyed among volunteers to understand which visualization techniques help non-expert users to understand the findings better. Findings of this study suggest that most accidents occur in the dusk (i.e., between 6 to 7 pm), and on Fridays. Results also suggest that most accidents occurred in October, which is a popular month for tourism. These findings are consistent with social information and can help policymakers, residents, tourists, and other law enforcement agencies. This study can be extended to draw broader implications.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
