Patents by Inventor Latifur Rahman Khan

Latifur Rahman Khan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for detecting a novel data class
    Patent number: 9165051
    Abstract: Systems and methods for data classification and novel data class detection are provided. In one illustrative embodiment, a system or method for detecting a novel class includes receiving a data stream comprising a plurality of data points, and identifying a set of filtered outliers, in the plurality of data points, that are outside of a decision boundary. A cohesion and a separation for the set of filtered outliers may be determined. A novel class may be detected using the cohesion and the separation of the set of filtered outliers, and the novel class may include the set of filtered outliers.
    Type: Grant
    Filed: August 22, 2011
    Date of Patent: October 20, 2015
    Assignees: BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS, BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM
    Inventors: Mohammad Mehedy Masud, Latifur Rahman Khan, Bhavani Marienne Thuraisingham, Qing Chen, Jing Gao, Jiawei Han
  • Systems and methods for determining user attribute values by mining user network data and information
    Patent number: 8965974
    Abstract: Systems and methods for determining one or more attributes and their associated values for a user, by mining the user's social network profiles. The systems and methods determine if the value of an attribute of interest for a user is specified on one or more social networking websites. If so, the systems and methods set the attribute value for the user to the specified attribute value. If not, the systems and methods retrieve, from the social networking websites, attribute values for the attribute of interest for friends of the user to form a group of possible attribute values for the user. The method, selects a value from the group of possible attribute values, and then sets the selected value as the attribute value for the user.
    Type: Grant
    Filed: August 17, 2012
    Date of Patent: February 24, 2015
    Assignee: Board of Regents, The University of Texas System
    Inventors: Satyen Abrol, Vaibhav Khadilkar, Latifur Rahman Khan, Bhavani Marienne Thuraisingham
  • Systems And Methods For Determining User Attribute Values By Mining User Network Data And Information
    Publication number: 20130218965
    Abstract: Systems and methods for determining one or more attributes and their associated values for a user, by mining the user's social network profiles. The systems and methods determine if the value of an attribute of interest for a user is specified on one or more social networking websites. If so, the systems and methods set the attribute value for the user to the specified attribute value. If not, the systems and methods retrieve, from the social networking websites, attribute values for the attribute of interest for friends of the user to form a group of possible attribute values for the user. The method, selects a value from the group of possible attribute values, and then sets the selected value as the attribute value for the user.
    Type: Application
    Filed: August 17, 2012
    Publication date: August 22, 2013
    Applicant: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM
    Inventors: Satyen Abrol, Vaibhav Khadilkar, Latifur Rahman Khan, Bhavani Marienne Thuraisingham
  • Systems and Methods for Detecting a Novel Data Class
    Publication number: 20120054184
    Abstract: Systems and methods for data classification and novel data class detection are provided. In one illustrative embodiment, a system or method for detecting a novel class includes receiving a data stream comprising a plurality of data points, and identifying a set of filtered outliers, in the plurality of data points, that are outside of a decision boundary. A cohesion and a separation for the set of filtered outliers may be determined. A novel class may be detected using the cohesion and the separation of the set of filtered outliers, and the novel class may include the set of filtered outliers.
    Type: Application
    Filed: August 22, 2011
    Publication date: March 1, 2012
    Applicant: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM
    Inventors: Mohammad Mehedy Masud, Latifur Rahman Khan, Bhavani Marienne Thuraisingham, Qing Chen, Jing Gao, Jiawei Han