1
David Cohen, Jason Ma, Bing Jie Fu, Ilya Nepomnyashchiy, Steven Berler, Alex Smaliy, Jack Grossman, James Thompson, Julia Boortz, Matthew Sprague, Parvathy Menon, Michael Kross, Michael Harris, Adam Borochoff: Data item clustering and analysis. Palantir Technologies, Knobbe Martens Olson & Bear, December 1, 2015: US09202249 (26 worldwide citation)

Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated ana ...


2
Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris: Prioritizing data clusters with customizable scoring strategies. Palantir Technologies, Knobbe Martens Olson & Bear, August 26, 2014: US08818892 (25 worldwide citation)

Techniques are disclosed for prioritizing a plurality of clusters. Prioritizing clusters may generally include identifying a scoring strategy for prioritizing the plurality of clusters. Each cluster is generated from a seed and stores a collection of data retrieved using the seed. For each cluster, ...


3
Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris: Generating data clusters. Palantir Technologies, Knobbe Martens Olson & Bear, September 15, 2015: US09135658 (14 worldwide citation)

Techniques are disclosed for prioritizing a plurality of clusters. Prioritizing clusters may generally include identifying a scoring strategy for prioritizing the plurality of clusters. Each cluster is generated from a seed and stores a collection of data retrieved using the seed. For each cluster, ...


4
Harkirat Singh, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris: Trend data clustering. Palantir Technologies, Knobbe Martens Olson & Bear, November 3, 2015: US09177344 (13 worldwide citation)

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 cl ...


5
Alexander Visbal, Adam Borochoff, Jacob Albertson, Trevor Austin, Christopher Rogers, Daniel Campos, Matthew Sprague, Michael Kross, Parvathy Menon, Michael Harris: Tax data clustering. Palantir Technologies, Knobbe Martens Olson & Bear, October 27, 2015: US09171334 (13 worldwide citation)

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 cl ...


6
Geoff Stowe, Harkirat Singh, Stefan Bach, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris: User-agent data clustering. Palantir Technologies, Knobbe Martens Olson & Bear, October 20, 2015: US09165299 (13 worldwide citation)

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 cl ...


7
Mark Elliot, Benjamin Duffield, Adam Borochoff: Interactive user interface for dynamic data analysis exploration and query processing. PALANTIR TECHNOLOGIES, Knobbe Martens Olson & Bear, May 10, 2016: US09335911 (9 worldwide citation)

The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the d ...


8
Mark Elliot, Benjamin Duffield, Adam Borochoff: Interactive user interface for dynamic data analysis exploration and query processing. PALANTIR TECHNOLOGIES, Knobbe Martens Olson & Bear, January 16, 2018: US09870389

The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. In particular, a data analysis system, such as described herein, may provide features to enable the d ...


9
David Cohen, Jason Ma, Bing Jie Fu, Ilya Nepomnyashchiy, Steven Berler, Alex Smaliy, Jack Grossman, James Thompson, Julia Boortz, Matthew Sprague, Parvathy Menon, Michael Kross, Michael Harris, Adam Borochoff: External malware data item clustering and analysis. Palantir Technologies, Knobbe Martens Olson & Bear, May 8, 2018: US09965937

Embodiments of the present disclosure relate to a data analysis system that may automatically generate memory-efficient clustered data structures, automatically analyze those clustered data structures, and provide results of the automated analysis in an optimized way to an analyst. The automated ana ...


10
Mark Elliot, Punyashloka Biswal, Ankit Shankar, Omar Ali, John Chakerian, Ben Duffield, Adam Borochoff: Storing logical units of program code generated using a dynamic programming notebook user interface. PALANTIR TECHNOLOGIES, Knobbe Martens Olson & Bear, January 16, 2018: US09870205

The programming notebook system, methods, and user interfaces described herein provide software developers with enhanced tools by which a programming notebook workflow and session history associated with code cells in a programming notebook may be tracked and maintained. As a developer progresses th ...