Invention Grant
- Patent Title: Methods and systems for determining and outputting correlations between metrics in a web analytic dataset
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Application No.: US15611563Application Date: 2017-06-01
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Publication No.: US11055317B2Publication Date: 2021-07-06
- Inventor: Hamid Dadkhahi , Mohammad Ghavamzadeh , Hung Bui , Branislav Kveton
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F16/28
- IPC: G06F16/28 ; G06N5/04 ; G06Q30/02 ; G06N7/00

Abstract:
Certain embodiments involve determining and outputting correlations between metrics in large-scale web analytics datasets. For example, a processor identifies pairs of data metrics in a web analytics data set and determines a Maximal Information Coefficient (MIC) score for each pair of data metrics that indicates a strength of a correlation between the pair of data metrics. The processor generates an interactive user interface that graphically displays each pair of correlated data metrics having an MIC score above a threshold and the interactive user interface indicates the strength of the correlation between each displayed pair of correlated data metrics. The processor receives user input indicating an adjustment to the threshold and modifies the interactive user interface in response to receiving the user input by adding pairs of correlated data metrics to, or removing pairs of correlated metrics from, the interactive user interface based on the adjustment to the threshold.
Public/Granted literature
- US20180349466A1 DETECTING NOVEL ASSOCIATIONS IN LARGE DATASETS Public/Granted day:2018-12-06
Information query