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SYSTEMS AND METHODS FOR DISCOVERING AND QUANTIFYING PRINCIPAL DRIVING FACTORS OR DOMINANT PATHS IN INTERCONNECTED JOURNEY DATA

机译:在互连旅程数据中发现和量化主驾驶因素或主导路径的系统和方法

摘要

Analytical methods and systems applied to sequential event data are disclosed. An exemplary system and method analyzes datasets containing events in a plurality of journeys. The methods and systems described analyze and quantify the relative importance of events and sequences leading to outcomes where the data is complex and interconnected. In some embodiments, a graphical user interface illustrates the quantification of these datasets. In some embodiments, the graphical user interface maps the journey paths to show the relative importance of each journey path. In some embodiments, the maps of journey paths are interactive, allowing selection of paths of interest for detailed analysis. In some embodiments, the methods and systems calculate paths similar to a journey path of interest. An exemplary method and system also provides detailed recommendations for changing events within a sequence to either increase or decrease the likelihood of achieving a selected outcome.
机译:公开了应用于顺序事件数据的分析方法和系统。示例性系统和方法分析包含多个旅程中的事件的数据集。所描述的方法和系统分析和量化了事件和序列的相对重要性,这些事件和序列导致了数据复杂且相互关联的结果。在一些实施例中,图形用户界面图示了这些数据集的量化。在一些实施例中,图形用户界面映射旅程路径以示出每个旅程路径的相对重要性。在一些实施例中,旅程路径的地图是交互式的,从而允许选择感兴趣的路径以进行详细分析。在一些实施例中,所述方法和系统计算类似于感兴趣的旅程路径的路径。示例性方法和系统还提供了用于改变序列中的事件以增加或减少实现选定结果的可能性的详细建议。

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