Automated Data Classification via Segmented Rule-Based Organization
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Solution Overview
Problem
Users face challenges in classifying and finding data across multiple devices due to the limitations of existing data classification methods, which become increasingly difficult as the number of devices and data stored increases, especially when data is spread across various devices and formats.
Innovation Solution
A system and method that allow users to classify files or data by type and associate them according to user-defined rules, using a user interface to input data types and classification criteria, which are then stored persistently, enabling quick identification and organization of data across multiple devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored across multiple devices and in various formats, then data storage capacity and accessibility increase, but data classification and identification become more difficult
Solution Approach 1:
The system segments data classification by file type, creating distinct classification rules for different data categories (images, videos, documents, audio). This segmentation approach allows the system to manage complex multi-device data storage by breaking down the classification task into manageable type-specific segments, each with its own classification logic and storage policies.
2Adaptability or versatility
If the number of electronic devices associated with a user increases, then data accessibility and storage options improve, but user ability to identify and classify data deteriorates
Solution Approach 1:
The system implements self-service classification by automatically applying user-defined rules to classify and organize data across multiple devices. Once users establish classification criteria for different file types, the system autonomously categorizes new data according to these rules, eliminating the need for manual classification and maintaining ease of operation even as the number of devices increases.
Solution Approach 2:
The system provides feedback mechanisms that allow users to review and refine classification results. Users can access classified data through organized views and adjust classification rules based on usage patterns, creating a feedback loop that improves data identification ease while maintaining versatility across multiple devices.
3Ease of manufacture
If manual data classification methods are used, then implementation simplicity is maintained, but classification efficiency and speed decrease
Solution Approach 1:
The system performs preliminary classification actions by pre-defining classification rules for different file types before data needs to be organized. Users set up classification criteria in advance for various data types, and the system automatically applies these pre-established rules when new data is encountered, eliminating the need for manual classification at the time of data access and significantly improving classification efficiency while maintaining implementation simplicity.
Data Source
AI summary
The present disclosure relates to methods and apparatus where a user may enter information into a computing device that may allow the computing device to classify data or files that are stored on one or more computing devices to be quickly classified. Methods and systems consistent with the present disclosure allow a user to identify data by a type of data or file and provide classification information such that the computing device may identify data by the data type and to classify that data automatically according to a rule. The information entered by a user that wishes to classify stored data may be entered over a graphical user interface (GUI) at a user device.