18541594. MODEL MINING AND RECOMMENDATION ENGINE WITH SIMULATION INTERFACES simplified abstract (Oracle International Corporation)
Contents
- 1 MODEL MINING AND RECOMMENDATION ENGINE WITH SIMULATION INTERFACES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 MODEL MINING AND RECOMMENDATION ENGINE WITH SIMULATION INTERFACES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
MODEL MINING AND RECOMMENDATION ENGINE WITH SIMULATION INTERFACES
Organization Name
Oracle International Corporation
Inventor(s)
Hari Bhaskar Sankaranarayanan of Bengaluru (IN)
Rajarshi Bhose of Bangalore (IN)
MODEL MINING AND RECOMMENDATION ENGINE WITH SIMULATION INTERFACES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18541594 titled 'MODEL MINING AND RECOMMENDATION ENGINE WITH SIMULATION INTERFACES
Simplified Explanation
The present embodiments relate to data processing model recommendation and review of a portion of data using a recommended model. A model catalog executing on a cloud infrastructure (CI) system can parse data from an obtained dataset identifying aspects of the dataset. The parsed data from the dataset can be compared with a plurality of potential models stored in a domain ontology store of the model catalog to identify one or more recommended models. Review output data can be generated using the dataset and any of the recommended models. The review output data resulting from the recommended model can be provided to the client for the client to either accept or reject the model.
- Data processing model recommendation and review
- Model catalog on a cloud infrastructure system
- Parsing data from a dataset to identify aspects
- Comparison with potential models in a domain ontology store
- Generation of review output data using recommended models
- Client acceptance or rejection of the recommended model
Potential Applications
The technology described in this patent application could be applied in various fields such as data analysis, machine learning, and artificial intelligence.
Problems Solved
This technology helps in automating the process of model recommendation and review, saving time and effort for data analysts and researchers.
Benefits
The benefits of this technology include improved efficiency in data processing, enhanced accuracy in model selection, and streamlined decision-making processes.
Potential Commercial Applications
One potential commercial application of this technology could be in data analytics software tools for businesses looking to optimize their data processing workflows.
Possible Prior Art
One possible prior art for this technology could be existing data processing systems that recommend models based on historical data patterns.
Unanswered Questions
How does the model catalog determine the relevance of potential models to the dataset?
The abstract does not provide details on the specific criteria or algorithms used by the model catalog to identify recommended models.
What is the process for updating the domain ontology store with new models or data?
The abstract does not mention how the domain ontology store is maintained and updated over time to ensure the relevance and accuracy of the stored models.
Original Abstract Submitted
The present embodiments relate to data processing model recommendation and review of a portion of data using a recommended model. A model catalog executing on a cloud infrastructure (CI) system can parse data from an obtained dataset identifying aspects of the dataset. The parsed data from the dataset can be compared with a plurality of potential models stored in a domain ontology store of the model catalog to identify one or more recommended models. Review output data can be generated using the dataset and any of the recommended models. The review output data resulting from the recommended model can be provided to the client for the client to either accept or reject the model.
