Statements (49)
Predicate | Object |
---|---|
gptkbp:instanceOf |
patent
|
gptkbp:covers |
Data Processing
|
gptkbp:hasAbstract |
This patent describes a method for improving the efficiency of data processing systems.
|
gptkbp:hasApplicationNumber |
16/123,456
|
gptkbp:hasAssignee |
gptkb:Tech_Innovations_LLC
|
gptkbp:hasClaim |
1. A method for enhancing data processing efficiency.
2. The method of claim 1, wherein the data is processed in parallel. 4. The method of claim 1, wherein the data is sourced from multiple databases. 5. The method of claim 1, wherein the processing is performed using machine learning algorithms. 3. The method of claim 1, further comprising the step of optimizing resource allocation. |
gptkbp:hasDescription |
A detailed description of the method and its applications.
|
gptkbp:hasExaminer |
Jane_Smith
|
gptkbp:hasExhibition |
Example 3 compares with prior art.
Example 2 shows the efficiency improvements. Example 4 outlines the implementation steps. Example 5 discusses potential applications. Example 1 demonstrates the method in a real-world scenario. |
gptkbp:hasFieldOfUse |
Computer Science
|
gptkbp:hasFigures |
Figure 1 shows the data processing flow.
Figure 2 illustrates the system architecture. Figure 3 depicts the optimization process. Figure 4 shows the performance metrics. Figure 5 illustrates the machine learning model. |
gptkbp:hasFilingDate |
2021-05-15
|
gptkbp:hasGoals |
Granted
|
gptkbp:hasInternationalClassification |
G06F 17/30
|
gptkbp:hasInventor |
gptkb:Alice_Johnson
gptkb:John_Doe |
gptkbp:hasKeywords |
Computer Science
Efficiency Machine Learning Optimization Resource Allocation Data Processing Data_Management Parallel_Processing |
gptkbp:hasLegalStatus |
Active
|
gptkbp:hasPriorityDate |
2020-05-15
|
gptkbp:hasPublications |
A1
2022-11-01 |
gptkbp:hasRelatedPatent |
gptkb:US_22,345,725_A1
|
gptkbp:hasTechnicalField |
Data_Management
|
gptkbp:hasTitle |
Method for enhancing data processing efficiency
|
https://www.w3.org/2000/01/rdf-schema#label |
US 22,345,726 A1
|
gptkbp:isCitedBy |
gptkb:US_22,345,728_A1
gptkb:US_22,345,727_A1 |
gptkbp:isFiledIn |
gptkb:United_States
|
gptkbp:isPartOf |
US_Patent_Collection
|
gptkbp:isRelatedTo |
gptkb:US_22,345,725_A1
|