Alexander T Moore

US Patent:

20190250975, Aug 15, 2019

Filed:

Feb 9, 2018

Appl. No.:

15/893572

Inventors:

- Redmond WA, US
Alexander V. MOORE - Seattle WA, US
Adam E. SHIREY - Renton WA, US

International Classification:

G06F 11/07
G06F 17/30

Abstract:

Examples for detecting anomalies in a dataset are provided herein. A decision tree is trained using the data set and partitions of the data set produced by the trained decision tree are identified. Further, subsets of data based at least on the partitions of the data set are identified and z-scores are computed for the subsets of data. Based at least on the subsets of data, a subset of data with a highest z-score is identified as an anomalous subset of data, and the anomalous subset of data is provided for display.

US Patent:

20180336488, Nov 22, 2018

Filed:

May 17, 2017

Appl. No.:

15/598096

Inventors:

- Redmond WA, US
Qiang LI - Redmond WA, US
Xiaoguang QI - Bellevue WA, US
Alexander Vincent MOORE - Seattle WA, US
Shan YANG - Bellevue WA, US
Vardan TOVMASYAN - Bothell WA, US
Cezary MARCJAN - Redmond WA, US
Pranavakumar PUNNIAMOORTHY - Redmond WA, US
Harish JAYANTI - Redmond WA, US
Jayaram NANDURI - Issaquah WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06N 99/00
G06Q 50/00
G06N 5/04
G06N 7/00

Abstract:

Aspects provided herein are relevant to systems, methods, and techniques for classifying relationships between people (e.g., users of a platform or ecosystem) based on relationship data. In an example, the relationship data can be provided as input into a two-layer classification framework in which the first layer acts a filter for the second layer. The framework can identify relationships such as a self-relationship (e.g., two different accounts on the platform are operated by the same person), a non-self, family-member relationship (e.g., two users are different people but part of the same family), and a non-family-member relationship (e.g., the two users are different people and not part of the same family, such as coworkers or roommates).