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US Patent 11861331 Scaling high-level statistical languages to large, distributed datasets

Patent 11861331 was granted and assigned to Google on January, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Google
Google
0
Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
118613310
Patent Inventor Names
Murray M. Stokely0
Karl Millar0
Date of Patent
January 2, 2024
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Patent Application Number
162648670
Date Filed
February 1, 2019
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Patent Citations
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US Patent 10248688 Annotations for parallelization of user-defined functions with flexible partitioning
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US Patent 8874502 Real time datamining
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US Patent 7092941 Clustering module for data mining
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US Patent 7580918 System and method of efficiently representing and searching directed acyclic graph structures in databases
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US Patent 8046385 Data quality tracking
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US Patent 8417709 Automatic refinement of information extraction rules
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US Patent 8631044 Machine optimization devices, methods, and systems
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Patent Citations Received
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US Patent 12111807 Optimizing storage and retrieval of compressed data
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Patent Primary Examiner
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Hosain T Alam
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CPC Code
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G06F 8/4435
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G06F 16/258
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G06F 8/314
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G06F 8/443
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G06F 16/254
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Patent abstract

A system and method for performing large-scale data processing using a statistical programming language are disclosed. One or more high-level statistical operations may be received. The received high-level statistical operations may be dynamically translated into a graph of low-level data operations. The unnecessary operations may be removed and operations may be fused or chained together. Operations may then be grouped into distributed data processing operation. The low-level operations may then be run.

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