公开(公告)号：US10942939B2

公开(公告)日：2021-03-09

申请号：US15412955

申请日：2017-01-23

Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY

Inventor： Jundong Li ,  Xia Hu ,  Jiliang Tang ,  Huan Liu

IPC: G06F17/00 ,  G06F7/00 ,  G06F16/248 ,  G06F16/22 ,  G06F16/901 ,  G06F16/2455 ,  G06F16/2457 ,  G06F16/9535

Abstract: Systems and methods for exploiting link information in streaming feature selection, resulting in a novel unsupervised streaming feature selection framework are disclosed.

公开(公告)号：US20200065292A1

公开(公告)日：2020-02-27

申请号：US16550937

申请日：2019-08-26

Applicant: Arizona Board of Regents on Behalf of Arizona State University

Inventor： Jundong Li ,  Harsh Dani ,  Xia Hu ,  Huan Liu

IPC: G06F15/173 ,  H04L29/06 ,  H04L12/26

Abstract: A processor is configured with a learning framework to characterize the residuals of attribute information and its coherence with network information for improved anomaly detection.

公开(公告)号：US20170212943A1

公开(公告)日：2017-07-27

申请号：US15412955

申请日：2017-01-23

Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY

Inventor： Jundong Li ,  Xia Hu ,  Jiliang Tang ,  Huan Liu

IPC: G06F17/30

CPC classification number: G06F16/248 ,  G06F16/22 ,  G06F16/24568 ,  G06F16/24578 ,  G06F16/9024 ,  G06F16/9535

Abstract: Systems and methods for exploiting link information in streaming feature selection, resulting in a novel unsupervised streaming feature selection framework are disclosed.