Invention Grant
- Patent Title: Automated outlier detection
- Patent Title (中): 自动异常值检测
-
Application No.: US15018016Application Date: 2016-02-08
-
Publication No.: US09576031B1Publication Date: 2017-02-21
- Inventor: Charu Aggarwal , Yanjie Fu , Srinivasan Parthasarathy , Deepak Turaga
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Kurt Goudy
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
An automated outlier detection system implements an unsupervised set of processes to determine feature subspaces from a dataset; determine candidate exploratory actions, where each candidate exploratory action is a specific combination of a feature subspace and a parameterized instance of an outlier detection algorithm; and identify a set of optimal exploratory actions to recommend for execution on the dataset from among the candidate exploratory actions. Outlier scores obtained as a result of execution of the set of optimal exploratory actions are processed to obtain one or more outlier views such that each outlier view represents a consistent characterization of outliers by each optimal exploratory action corresponding to that outlier view.
Information query