发明授权
US09589299B2 Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures
有权
基于各种数据结构中相关数据的自动聚类,对不良行为行为进行动态和交互式调查的系统和用户界面
- 专利标题: Systems and user interfaces for dynamic and interactive investigation of bad actor behavior based on automatic clustering of related data in various data structures
- 专利标题(中): 基于各种数据结构中相关数据的自动聚类,对不良行为行为进行动态和交互式调查的系统和用户界面
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申请号: US15151904申请日: 2016-05-11
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公开(公告)号: US09589299B2公开(公告)日: 2017-03-07
- 发明人: Alexander Visbal , James Thompson , Marvin Sum , Jason Ma , Bing Jie Fu , Ilya Nepomnyashchiy , Devin Witherspoon , Victoria Lai , Steven Berler , Alexei Smaliy , Suchan Lee
- 申请人: Palantir Technologies Inc.
- 申请人地址: US CA Palo Alto
- 专利权人: PALANTIR TECHNOLOGIES INC.
- 当前专利权人: PALANTIR TECHNOLOGIES INC.
- 当前专利权人地址: US CA Palo Alto
- 代理机构: Knobbe, Martens, Olson & Bear LLP
- 主分类号: G06Q40/00
- IPC分类号: G06Q40/00 ; G06F3/0482 ; G06F3/0484 ; G06F12/10 ; G06F17/30 ; G06K9/62
摘要:
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.
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