Events and Event Features
Prosaically, in unprocessed data an event is a row of data. Each row captures information about something a user has done - clicked on a button on a website, performed a search, purchased an item, etc.
Prosaically, in unprocessed data an event is a row of data. Each row captures information about something a user has done - clicked on a button on a website, performed a search, purchased an item, etc.
Event Features, is the descriptive data associated with an event. This could include; date and time the event took place, the item that was purchased, where the user was when they performed the action, etc.
Event Features, is the descriptive data associated with an event. This could include; date and time the event took place, the item that was purchased, where the user was when they performed the action, etc.
Using the processing functionality and features of Knowledge Leaps, users can combine the feature datas with event data to build complex data sets that surface different types of events. For example what is the difference in users who purchase item x vs. item y.
Using the processing functionality and features of Knowledge Leaps, users can combine the feature datas with event data to build complex data sets that surface different types of events. For example what is the difference in users who purchase item x vs. item y.