- 专利标题: RAPID PREDICTIVE ANALYSIS OF VERY LARGE DATA SETS USING THE DISTRIBUTED COMPUTATIONAL GRAPH USING CONFIGURABLE ARRANGEMENT OF PROCESSING COMPONENTS
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申请号: US16709598申请日: 2019-12-10
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公开(公告)号: US20200293920A1公开(公告)日: 2020-09-17
- 发明人: Jeffrey Chung , Jason Crabtree , Luka Jurukovski , Bhashit Parikh , Andrew Sellers
- 申请人: QOMPLX, Inc.
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06F16/901 ; G06N20/00
摘要:
A system for predictive analysis of very large data sets using a distributed computational graph that intelligently combines processing of a current data stream with the ability to retrieve relevant stored data in such a way that conclusions or actions may be drawn in a predictive manner. The system has a pipeline construction module that allows a user to construct a streaming analytic workflow using modular building blocks, each of which represents either an environmental orchestration stage or a data processing stage of a streaming analytic workflow, and has a pipeline processing module that receives a data stream and constructs a directed computational graph by processing the data stream through the streaming analytic workflow. The directed computational graph is used to analyze the data stream.
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