公开(公告)号：US11294917B2

公开(公告)日：2022-04-05

申请号：US16156018

申请日：2018-10-10

Applicant: salesforce.com, inc.

Inventor： Yacov Salomon ,  Maria Dimakopoulou

IPC: G06F16/2458 ,  G06F16/22 ,  G06F17/18

Abstract: Methods, systems, and devices for data attribution using frequent pattern analysis are described. In some cases, data stored at a multi-tenant database server may be analyzed to understand various interactions and patterns between data attributes associated with multiple users. The multi-tenant database server may effectively cluster and/or perform calculations on attributes of the data to understand user patterns. In some examples, the multi-tenant database server may determine a change (e.g., a probability change) in the user patterns by removing one or more attributes from the data set and re-performing the analysis. By re-performing the analysis, the multi-tenant database server may attribute a value to individual pieces and combinations of the data in order to indicate the effect that each piece of data has on the analysis.