Palantir Technologies Inc.

Palanter Technologies Inc.

Marvin Sum

James Thompson

Robert Fink

Jason Ma

Allen Cai

Ilya Nepomnyashchiy

Mark Schafer

Alexander Visbal

John Chakerian

Bing Jie Fu

Steven Berler

Suchan Lee

Devin Witherspoon

Alexei Smaliy

Antoine Llorca

Victoria Lai

Joshua Goldenberg

Piotr Kwiatkowski

Adam Torres

Jack Grossman

Gregory Martin

Alessandro Mingione

Adan Torres

Vicktoria Lai

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, automatically tag and group those clustered data structures, and provide results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the clustered data structures (also referred to herein as data clusters) may include an automated application of various criteria or rules so as to generate a tiled display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters in the context of, for example, a fraud investigation.

Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures

Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more documents, the one or more documents being grouped into one or more clusters having a score, and the one or more clusters being grouped into one or more megaclusters, presenting information associated with the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way, and filtering the presented information based on the scores associated with the one or more clusters.

System and method for news events detection and visualization

Display screen or portion thereof with graphical user interface

Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining a document vector based from a document, obtaining one or more clusters of documents, each cluster associated with a plurality of documents, a cluster vector, and a cluster weight, determining a matching cluster from the one or more clusters based at least on the similarity between the document vector and the cluster vector of the matching cluster, and associating the document with the matching cluster.

Display screen or portion thereof with an animated graphical user interface

Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining one or more user inputs, determining, based on the user inputs, an entity and a date range, obtaining one or more documents associated with the entity and with dates within the date range, the one or more documents being grouped into one or more clusters, and the clusters being grouped into one or more megaclusters, and presenting the one or more documents on one or more timelines, wherein the one or more documents are grouped into different megaclusters being presented in a visually distinct way. The method further allows for filtering of the one or more clusters based on a value associated with the one or more clusters.

Systems and methods are disclosed for news events detection and visualization. In accordance with one implementation, a method is provided for news events detection and visualization. The method includes, for example, obtaining a document, obtaining from the document a plurality of tokens, obtaining a document vector based on a plurality of frequencies associated with the plurality of tokens, obtaining one or more clusters of documents, each cluster associated with a plurality of documents and a cluster vector, determining a matching cluster from the one or more clusters based at least on the similarity between the document vector and the cluster vector of the matching cluster, and updating a database to associate the document with the matching cluster.

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Sunnyvale, CA, United States of America

Marvin Sum