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US Patent 11868372 Automated hierarchy detection for cloud-based analytics

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Patent abstractTimelineTable: Further ResourcesReferences
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Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118683721
Patent Inventor Names
Swaminathan Sivasubramanian1
Amol Devgan1
Mukul Vijay Karnik1
Santosh Kalki1
Srinivasan Sundar Raghavan1
Timothy Andrew Rath1
Date of Patent
January 9, 2024
1
Patent Application Number
145032351
Date Filed
September 30, 2014
1
Patent Citations
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US Patent 7366730 Registration of solved cubes within a relational database management system
1
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US Patent 7761407 Use of primary and secondary indexes to facilitate aggregation of records of an OLAP data cube
1
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US Patent 7954090 Systems and methods for detecting behavioral features of software application deployments for automated deployment management
1
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US Patent 8166042 Height based indexing
1
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US Patent 8245290 Image processing apparatus, image processing method, program, and storage medium for performing access control of document including two-dimensional code
1
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US Patent 8280853 Dynamic storage mechanism
1
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US Patent 8341111 Graph pattern recognition interface
1
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US Patent 8346711 Method for identifying multi-input multi-output Hammerstein models
1
...
Patent Primary Examiner
‌
Hosain T Alam
1
CPC Code
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G06F 16/283
1
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G06F 16/28
1
Patent abstract

A platform for data analytics may be provided in a hosted environment on a multi-tenant system. The platform provider may also provide transactional processing services. Data obtained from processing the transactional services may be stored in an n-dimensional cube with which analytics may be performed. A dimension and hierarchy model may be identified based on correlations between hierarchy dimensions and levels in a dataset, or in schema and queries related to the dataset. Correlations may be further based on data received from a data stream. Priority for calculating a hierarchy may be based on data received from a data stream.

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