Pageview is the most popular webpage analytic metric in all sectors including blogs, business, e-commerce, education, entertainment, research, social media, and technology. To perform deeper analysis, additional methods are required such as mouse tracking, which can help researchers understand online user behavior on a single webpage. However, the geometrical data generated by mouse tracking are extremely large, and qualify as big data. A single swipe on a webpage from left to right can generate a megabyte (MB) of data. Fortunately, the geometrical data of each x and y point of the mouse trail are not always needed. Sometimes, analysts only need the heat map of a certain area or perhaps just a summary of the number of activities that occurred on a webpage. Therefore, recording all geometrical data is sometimes unnecessary. This work introduces preprocessing during real-time and online mouse tracking sessions. The preprocessing that is introduced converts the geometrical data from each x and y point to a region-of-interest concentration, in other words only heat map areas that the analyzer is interested in. Ultimately, the approach used here is able to greatly reduce the storage and transmission cost of real-time online mouse tracking.

Pageview是所有领域中最受欢迎的网页分析指标，包括博客，商业，电子商务，教育，娱乐，研究，社交媒体和技术。为了进行更深入的分析，还需要其他方法，例如鼠标跟踪，这可以帮助研究人员了解单个网页上的在线用户行为。但是，通过鼠标跟踪生成的几何数据非常大，可以视为大数据。在网页上从左向右滑动一次即可生成兆字节（MB）的数据。幸运的是，并非总是需要鼠标轨迹的每个x和y点的几何数据。有时，分析人员只需要某个区域的热图，或者仅是网页上发生的活动数量的摘要即可。因此，有时不需要记录所有几何数据。这项工作介绍了实时和在线鼠标跟踪会话期间的预处理。引入的预处理将来自每个x和y点的几何数据转换为感兴趣区域的浓度，换言之，仅是分析仪感兴趣的热图区域。最终，这里使用的方法能够极大地减少实时在线鼠标跟踪的存储和传输成本。