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• W3017227890 abstract "Abstract 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." @default.
• W3017227890 created "2020-04-24" @default.
• W3017227890 creator A5027000175 @default.
• W3017227890 creator A5075394055 @default.
• W3017227890 date "2020-04-10" @default.
• W3017227890 modified "2023-09-27" @default.
• W3017227890 title "Using real-time online preprocessed mouse tracking for lower storage and transmission costs" @default.
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• W3017227890 doi "https://doi.org/10.1186/s40537-020-00304-x" @default.
• W3017227890 hasPublicationYear "2020" @default.
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