公开(公告)号：US20180225320A1

公开(公告)日：2018-08-09

申请号：US15428523

申请日：2017-02-09

Applicant: Adobe Systems Incorporated

Inventor： Shiv Kumar Saini ,  Trevor Paulsen ,  Moumita Sinha ,  Gaurush Hiranandani

IPC: G06F17/30

CPC classification number: G06F16/215

Abstract: Techniques are disclosed for identifying anomalies in small data sets, by identifying anomalies using a Generalized Extreme Student Deviate test (GESD test). In an embodiment, a data set, such as business data or a website metric, is checked for skewness and, if found to be skewed, is transformed to a normal distribution (e.g., by applying a Box-Cox transformation). The data set is checked for presence of trends and, if a trend is found, has the trend removed (e.g., by running a linear regression). In one embodiment, a maximum number of anomalies is estimated for the data set, by applying an adjusted box plot to the data set. The data set and the estimated number of anomalies is run through a GESD test, and the test identifies anomalous data points in the data set, based on the provided estimated number of anomalies. In an embodiment, a confidence interval is generated for the identified anomalies.

公开(公告)号：US20170357988A1

公开(公告)日：2017-12-14

申请号：US15180582

申请日：2016-06-13

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Trevor Paulsen ,  Craig Mathis ,  Nikolaos Vlassis ,  Branislav Kveton ,  Kristopher Paries ,  Ivan Andrus ,  Hung Bui ,  Michael Rimer

IPC: G06Q30/02 ,  G06F3/0482

CPC classification number: G06Q30/0204 ,  G06F3/0484

Abstract: Systems and methods are disclosed herein for providing a user interface representing differences between segments of end users. The systems and methods receive user input on a user interface identifying a first segment, the first segment being a subset of the end users having a particular characteristic, determine differences between the first segment and a second segment, and represent, on the user interface, the differences between the first segment and the second segment based on relative significances of the differences. The marketer using the user interface is able to quickly and easily identify the metrics, dimensions, and/or relationships to other segments that most distinguish the compared segments from one another.