Patents by Inventor Kamil Trojan

Kamil Trojan 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).

  • DATA CLUSTERING BASED ON CANDIDATE QUERIES
    Publication number: 20200356579
    Abstract: Received data records, each including one or more values in one or more fields, are processed to identify a matched data cluster. The processing includes: for selected data records, generating a query from one or more values; identifying one or more candidate data records from the received data records using the query; determining whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records; and selecting the matched data cluster from among one or more candidate data clusters based at least in part on a growth criterion for the candidate data clusters, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy a cluster membership criterion for any of the existing data clusters or based on a result of the growth criterion.
    Type: Application
    Filed: February 3, 2020
    Publication date: November 12, 2020
    Inventors: Arlen Anderson, Kamil Trojan
  • Data clustering based on candidate queries
    Patent number: 10572511
    Abstract: Received data records, each including one or more values in one or more fields, are processed to identify a matched data cluster. The processing includes: for selected data records, generating a query from one or more values; identifying one or more candidate data records from the received data records using the query; determining whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records; and selecting the matched data cluster from among one or more candidate data clusters based at least in part on a growth criterion for the candidate data clusters, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy a cluster membership criterion for any of the existing data clusters or based on a result of the growth criterion.
    Type: Grant
    Filed: June 2, 2016
    Date of Patent: February 25, 2020
    Assignee: Ab Initio Technology LLC
    Inventors: Arlen Anderson, Kamil Trojan
  • DATA CLUSTERING BASED ON CANDIDATE QUERIES
    Publication number: 20160283574
    Abstract: Received data records, each including one or more values in one or more fields, are processed to identify a matched data cluster. The processing includes: for selected data records, generating a query from one or more values; identifying one or more candidate data records from the received data records using the query; determining whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records; and selecting the matched data cluster from among one or more candidate data clusters based at least in part on a growth criterion for the candidate data clusters, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy a cluster membership criterion for any of the existing data clusters or based on a result of the growth criterion.
    Type: Application
    Filed: June 2, 2016
    Publication date: September 29, 2016
    Inventors: Arlen Anderson, Kamil Trojan
  • Data clustering based on candidate queries
    Patent number: 9361355
    Abstract: Received data records, each including one or more values in one or more fields, are processed to identify a matched data cluster. The processing includes: for selected data records, generating a query from one or more values; identifying one or more candidate data records from the received data records using the query; determining whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records; and selecting the matched data cluster from among one or more candidate data clusters based at least in part on a growth criterion for the candidate data clusters, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy a cluster membership criterion for any of the existing data clusters or based on a result of the growth criterion.
    Type: Grant
    Filed: November 15, 2012
    Date of Patent: June 7, 2016
    Assignee: Ab Initio Technology LLC
    Inventors: Arlen Anderson, Kamil Trojan
  • DATA CLUSTERING BASED ON CANDIDATE QUERIES
    Publication number: 20130124525
    Abstract: Received data records, each including one or more values in one or more fields, are processed to identify a matched data cluster. The processing includes: for selected data records, generating a query from one or more values; identifying one or more candidate data records from the received data records using the query; determining whether or not the selected data record satisfies a cluster membership criterion for at least one candidate data cluster of one or more existing data clusters containing the candidate records; and selecting the matched data cluster from among one or more candidate data clusters based at least in part on a growth criterion for the candidate data clusters, or initializing the matched data cluster with the selected data record if the selected data record does not satisfy a cluster membership criterion for any of the existing data clusters or based on a result of the growth criterion.
    Type: Application
    Filed: November 15, 2012
    Publication date: May 16, 2013
    Inventors: Arlen Anderson, Kamil Trojan