Patents by Inventor Brendan Weickert
Brendan Weickert 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).
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Patent number: 11848760Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: GrantFiled: April 12, 2022Date of Patent: December 19, 2023Assignee: Palantir Technologies Inc.Inventors: Harkirat Singh, Geoffrey Stowe, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Publication number: 20220239672Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: ApplicationFiled: April 12, 2022Publication date: July 28, 2022Inventors: Harkirat Singh, Geoffrey Stowe, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Patent number: 11336681Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: GrantFiled: June 11, 2020Date of Patent: May 17, 2022Assignee: Palantir Technologies Inc.Inventors: Harkirat Singh, Geoffrey Stowe, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Patent number: 10832218Abstract: Aspects of the present disclosure involve approaches for calculating an attrition value of a population on the probability that attrition will occur within a predefined time period, and additionally, to calculate an individual attrition value of various features of the population based on their contribution to the calculated attrition value of the population. A computer, such as a server, may receive a cohort definition that includes one or more features and corresponding feature values from a third-party data source or client device. A cohort definition defines a subset of users from among the population of users, based on various combinations of features and feature values.Type: GrantFiled: April 5, 2016Date of Patent: November 10, 2020Assignee: Palantir Technologies Inc.Inventors: Richard Hsu, Brendan Weickert, Krishnan Aiyer
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Publication number: 20200304522Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: ApplicationFiled: June 11, 2020Publication date: September 24, 2020Inventors: Harkirat Singh, Geoffrey Stowe, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Patent number: 10721268Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: GrantFiled: January 3, 2019Date of Patent: July 21, 2020Assignee: Palantir Technologies Inc.Inventors: Harkirat Singh, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Publication number: 20190158509Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: ApplicationFiled: January 3, 2019Publication date: May 23, 2019Inventors: Harkirat Singh, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Patent number: 9177344Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: GrantFiled: December 23, 2013Date of Patent: November 3, 2015Assignee: Palantir Technologies Inc.Inventors: Harkirat Singh, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
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Patent number: 8788407Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.Type: GrantFiled: December 23, 2013Date of Patent: July 22, 2014Assignee: Palantir Technologies Inc.Inventors: Harkirat Singh, Geoff Stowe, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris