View source for 18462642. METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS simplified abstract (Capital One Services, LLC)

=METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS=


==Organization Name==

[[:Category:Capital One Services, LLC|Capital One Services, LLC]]


[[Category:Capital One Services, LLC]]

==Inventor(s)==

[[:Category:Hao Hua Huang of Toronto (CA)|Hao Hua Huang of Toronto (CA)]][[Category:Hao Hua Huang of Toronto (CA)]]

[[:Category:Bjorn Kwok of Richmond Hill (CA)|Bjorn Kwok of Richmond Hill (CA)]][[Category:Bjorn Kwok of Richmond Hill (CA)]]

==METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18462642 titled 'METHODS AND SYSTEMS FOR CLASSIFYING DATABASE RECORDS BY INTRODUCING TIME DEPENDENCY INTO TIME-HOMOGENEOUS PROBABILITY MODELS

==Simplified Explanation==

Methods and systems are described for improving the efficiency of classifying user files in a database, particularly those with a temporal element. This is achieved by introducing time dependency into time-homogeneous probability models, which can then be used to classify user files more efficiently.

* The patent introduces time dependency into time-homogeneous probability models.
* This allows for improved classification of user files in a database.
* The method is particularly useful for files with a temporal element.
* By incorporating time dependency, the data processing efficiency is enhanced.

== Potential Applications ==
This technology has potential applications in various fields, including:

* Data management systems
* Content classification systems
* File organization and retrieval systems
* Time-sensitive data analysis

== Problems Solved ==
The technology addresses the following problems:

* Inefficient classification of user files in a database
* Difficulty in handling files with a temporal element
* Lack of time dependency in time-homogeneous probability models
* Slow data processing for files requiring temporal analysis

== Benefits ==
The benefits of this technology include:

* Improved efficiency in classifying user files
* Enhanced data processing speed
* More accurate classification of files with a temporal element
* Better organization and retrieval of time-sensitive data


==Original Abstract Submitted==

Methods and systems are described herein for improving data processing efficiency of classifying user files in a database. More particularly, methods and systems are described herein for improving data processing efficiency of classifying user files in a database in which the user files have a temporal element. The methods and system described herein accomplish these improvements by introducing time dependency into time-homogeneous probability models. Once time dependency has been introduced into the time-homogeneous probability models, these models may be used to improve the data processing efficiency of classifying the user files that feature a temporal element.



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