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US Patent 9514213 Per-attribute data clustering using tri-point data arbitration

Patent 9514213 was granted and assigned to Oracle on December, 2016 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Oracle
Oracle
1
Current Assignee
Oracle
Oracle
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
95142131
Patent Inventor Names
Alan Paul Wood1
Aleksey M. Urmanov1
Anton A. Bougaev1
Date of Patent
December 6, 2016
1
Patent Application Number
138337571
Date Filed
March 15, 2013
1
Patent Citations Received
‌
US Patent 11868376 Systems and methods for visualization of data analysis
2
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US Patent 11836162 Unsupervised method for classifying seasonal patterns
3
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US Patent 11887015 Automatically-generated labels for time series data and numerical lists to use in analytic and machine learning systems
4
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US Patent 11928760 Systems and methods for detecting and accommodating state changes in modelling
5
‌
US Patent 12131142 Artificial intelligence driven configuration management
6
‌
US Patent 12001926 Systems and methods for detecting long term seasons
7
‌
US Patent 11949703 Systems and methods for multivariate anomaly detection in software monitoring
8
Patent Primary Examiner
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Jason Liao
1
Patent abstract

Systems, methods, and other embodiments associated with clustering using tri-point arbitration are described. In one embodiment, a method includes selecting a data point pair and a set of arbiter points. A tri-point arbitration similarity is calculated for data point pairs based, at least in part, on a distance between the first and second data points and the arbiter points. In one embodiment, similar data points are clustered.

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